Functional clustering methods for binary longitudinal data with temporal heterogeneity

In the analysis of binary longitudinal data, it is of interest to model a dynamic relationship between a response and covariates as a function of time, while also investigating similar patterns of time-dependent interactions. We present a novel generalized varying-coefficient model that accounts for...

Full description

Saved in:
Bibliographic Details
Published inComputational statistics & data analysis Vol. 185; p. 107766
Main Authors Sohn, Jinwon, Jeong, Seonghyun, Cho, Young Min, Park, Taeyoung
Format Journal Article
LanguageEnglish
Published Elsevier B.V 01.09.2023
Subjects
data analysis
Dirichlet process
Longitudinal data
Partial collapsed Gibbs sampler
Probit mixed models
statistics
Varying-coefficients
Dirichlet process
Longitudinal data
Partial collapsed Gibbs sampler
Varying-coefficients
Probit mixed models
Online AccessGet full text

Cover

Abstract In the analysis of binary longitudinal data, it is of interest to model a dynamic relationship between a response and covariates as a function of time, while also investigating similar patterns of time-dependent interactions. We present a novel generalized varying-coefficient model that accounts for within-subject variability and simultaneously clusters varying-coefficient functions, without restricting the number of clusters nor overfitting the data. In the analysis of a heterogeneous series of binary data, the model extracts population-level fixed effects, cluster-level varying effects, and subject-level random effects. Various simulation studies show the validity and utility of the proposed method to correctly specify cluster-specific varying-coefficients when the number of clusters is unknown. The proposed method is applied to a heterogeneous series of binary data in the German Socioeconomic Panel (GSOEP) study, where we identify three major clusters demonstrating the different varying effects of socioeconomic predictors as a function of age on the working status.
AbstractList In the analysis of binary longitudinal data, it is of interest to model a dynamic relationship between a response and covariates as a function of time, while also investigating similar patterns of time-dependent interactions. We present a novel generalized varying-coefficient model that accounts for within-subject variability and simultaneously clusters varying-coefficient functions, without restricting the number of clusters nor overfitting the data. In the analysis of a heterogeneous series of binary data, the model extracts population-level fixed effects, cluster-level varying effects, and subject-level random effects. Various simulation studies show the validity and utility of the proposed method to correctly specify cluster-specific varying-coefficients when the number of clusters is unknown. The proposed method is applied to a heterogeneous series of binary data in the German Socioeconomic Panel (GSOEP) study, where we identify three major clusters demonstrating the different varying effects of socioeconomic predictors as a function of age on the working status.
ArticleNumber 107766
Author Sohn, Jinwon
Jeong, Seonghyun
Park, Taeyoung
Cho, Young Min
Author_xml – sequence: 1
  givenname: Jinwon
  surname: Sohn
  fullname: Sohn, Jinwon
  email: sohn24@purdue.edu
  organization: Department of Statistics, Purdue University, IN 47907, USA
– sequence: 2
  givenname: Seonghyun
  surname: Jeong
  fullname: Jeong, Seonghyun
  email: sjeong@yonsei.ac.kr
  organization: Department of Applied Statistics, Yonsei University, Seoul 03722, Korea
– sequence: 3
  givenname: Young Min
  orcidid: 0000-0002-3793-7257
  surname: Cho
  fullname: Cho, Young Min
  email: jch0@seas.upenn.edu
  organization: Department of Computer and Information Science, University of Pennsylvania, PA 19104, USA
– sequence: 4
  givenname: Taeyoung
  orcidid: 0000-0001-7405-0746
  surname: Park
  fullname: Park, Taeyoung
  email: tpark@yonsei.ac.kr
  organization: Department of Applied Statistics, Yonsei University, Seoul 03722, Korea
BookMark eNp9kM9LwzAYhoNMcJv-A5569NKZH23TghcZToWBF_UasuTrltElM0mV_fem1JOHnT54eZ8P3meGJtZZQOiW4AXBpLrfL1TQckExZSngvKou0JTUnOaclXSCpqnE86bg7ArNQthjjGnB6yn6XPVWReOs7DLV9SGCN3abHSDunA5Z63y2MVb6U9Y5uzWx12aoahll9mPiLotwODqfoh0k1m3Bgomna3TZyi7Azd-do4_V0_vyJV-_Pb8uH9e5YozFXNGW6BJqXrCywLRqy4YWiqlW8rpRlFQEKl1DwRg0crPBpFRMS0axJKxsipbN0d349-jdVw8hioMJCrpOWnB9ELRmBeW85DhV6VhV3oXgoRVHbw5pmSBYDBLFXgwSxSBRjBITVP-DlIly8BW9NN159GFEIe3_NuBFUAasAm08qCi0M-fwX_cEkF4
CitedBy_id crossref_primary_10_1214_24_BA1466
Cites_doi 10.1002/sim.4465
10.1002/bimj.200410162
10.1093/biomet/83.1.67
10.1007/BF00143554
10.1016/j.csda.2017.03.007
10.1111/j.2517-6161.1993.tb01939.x
10.1198/016214505000000187
10.1007/BF02294188
10.1198/jcgs.2009.08108
10.1016/j.eswa.2019.04.028
10.1080/02331888.2017.1353514
10.1080/10618600.2021.1999827
10.1198/016214501750332758
10.1214/15-BA987
10.1093/biomet/85.4.809
10.1093/biomet/88.4.1055
10.1080/01621459.1998.10473800
10.1214/ss/1177011136
10.2307/2531147
10.1080/00031305.2013.817357
10.1111/j.1467-9469.2005.00413.x
10.1111/j.1467-9868.2006.00545.x
10.1007/s11222-008-9055-1
10.1198/jasa.2011.tm10552
10.1080/10618600.2000.10474867
10.1214/14-AOAS751
10.1198/016214504000002078
10.1080/10485250903151078
10.1002/jae.680
10.1093/biostatistics/kxp042
10.1214/14-BA925
10.4310/SII.2008.v1.n1.a15
10.1016/0304-4076(95)01763-1
10.1016/j.jeconom.2009.11.002
10.1214/10-AOS792
10.1198/016214503000189
10.1080/01621459.1997.10473662
10.1198/016214507000001337
10.1080/03610918.2013.857687
10.1198/016214508000000409
10.1198/106186007X238855
10.1111/sjos.12159
10.1093/biomet/asz002
10.1198/1061860043010
10.1111/j.1467-9868.2009.00708.x
10.1198/016214506000000302
10.1016/j.csda.2010.04.016
10.1111/1467-9868.00140
10.1023/A:1011916902934
10.1016/j.csda.2013.04.001
10.1002/sim.8768
ContentType Journal Article
Copyright 2023 Elsevier B.V.
Copyright_xml – notice: 2023 Elsevier B.V.
DBID AAYXX
CITATION
7S9
L.6
DOI 10.1016/j.csda.2023.107766
DatabaseName CrossRef
AGRICOLA
AGRICOLA - Academic
DatabaseTitle CrossRef
AGRICOLA
AGRICOLA - Academic
DatabaseTitleList AGRICOLA
DeliveryMethod fulltext_linktorsrc
Discipline Mathematics
Statistics
EISSN 1872-7352
ExternalDocumentID 10_1016_j_csda_2023_107766
S0167947323000774
GroupedDBID --K
--M
-~X
.~1
0R~
1B1
1OL
1RT
1~.
1~5
29F
4.4
457
4G.
5GY
5VS
7-5
71M
8P~
9JN
9JO
AAAKF
AAAKG
AABNK
AACTN
AAEDT
AAEDW
AAIAV
AAIKJ
AAKOC
AALRI
AAOAW
AAQFI
AAQXK
AARIN
AAXUO
AAYFN
ABAOU
ABBOA
ABFNM
ABMAC
ABTAH
ABUCO
ABXDB
ABYKQ
ACAZW
ACDAQ
ACGFS
ACNNM
ACRLP
ACZNC
ADBBV
ADEZE
ADGUI
ADJOM
ADMUD
ADTZH
AEBSH
AECPX
AEKER
AENEX
AFKWA
AFTJW
AGHFR
AGUBO
AGYEJ
AHHHB
AHJVU
AHZHX
AI.
AIALX
AIEXJ
AIGVJ
AIKHN
AITUG
AJBFU
AJOXV
ALMA_UNASSIGNED_HOLDINGS
AMFUW
AMRAJ
AOUOD
APLSM
ARUGR
ASPBG
AVWKF
AXJTR
AZFZN
BJAXD
BKOJK
BLXMC
CS3
DU5
EBS
EFJIC
EFLBG
EJD
EO8
EO9
EP2
EP3
F5P
FDB
FEDTE
FGOYB
FIRID
FNPLU
FYGXN
G-2
G-Q
GBLVA
GBOLZ
HAMUX
HLZ
HMJ
HVGLF
HZ~
H~9
IHE
J1W
JJJVA
KOM
LG9
LY1
M26
M41
MHUIS
MO0
N9A
O-L
O9-
OAUVE
OZT
P-8
P-9
P2P
PC.
Q38
R2-
RIG
RNS
ROL
RPZ
SBC
SDF
SDG
SDS
SES
SEW
SME
SPC
SPCBC
SSB
SSD
SST
SSV
SSW
SSZ
T5K
VH1
VOH
WUQ
XPP
ZMT
ZY4
~02
~G-
AAHBH
AATTM
AAXKI
AAYWO
AAYXX
ABJNI
ABWVN
ACRPL
ACVFH
ADCNI
ADNMO
ADXHL
AEIPS
AEUPX
AFJKZ
AFPUW
AFXIZ
AGCQF
AGQPQ
AGRNS
AIGII
AIIUN
AKBMS
AKRWK
AKYEP
ANKPU
APXCP
BNPGV
CITATION
SSH
7S9
L.6
ID FETCH-LOGICAL-c333t-c2f1d5e874354026f5924c3cfa789c2161e6d8e433e9abb015c3da320a13594f3
IEDL.DBID .~1
ISSN 0167-9473
IngestDate Thu Jul 10 17:34:10 EDT 2025
Thu Apr 24 23:11:03 EDT 2025
Tue Jul 01 02:24:38 EDT 2025
Fri Feb 23 02:37:24 EST 2024
IsPeerReviewed true
IsScholarly true
Keywords Dirichlet process
Longitudinal data
Partial collapsed Gibbs sampler
Varying-coefficients
Probit mixed models
Language English
LinkModel DirectLink
MergedId FETCHMERGED-LOGICAL-c333t-c2f1d5e874354026f5924c3cfa789c2161e6d8e433e9abb015c3da320a13594f3
Notes ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 23
ORCID 0000-0002-3793-7257
0000-0001-7405-0746
PQID 2834277570
PQPubID 24069
ParticipantIDs proquest_miscellaneous_2834277570
crossref_primary_10_1016_j_csda_2023_107766
crossref_citationtrail_10_1016_j_csda_2023_107766
elsevier_sciencedirect_doi_10_1016_j_csda_2023_107766
ProviderPackageCode CITATION
AAYXX
PublicationCentury 2000
PublicationDate September 2023
2023-09-00
20230901
PublicationDateYYYYMMDD 2023-09-01
PublicationDate_xml – month: 09
  year: 2023
  text: September 2023
PublicationDecade 2020
PublicationTitle Computational statistics & data analysis
PublicationYear 2023
Publisher Elsevier B.V
Publisher_xml – name: Elsevier B.V
References Park, Min (br0570) 2016; 45
Stiratelli, Laird, Ware (br0010) 1984
Kuss, Gromann, Diepgen (br0470) 2006; 48
Ferguson (br0290) 1973
Neal (br0150) 1998; 6
Zellner (br0620) 1986
Jeong, Park (br0110) 2016; 11
Meng, van Dyk (br0540) 1998; 60
Sethuraman (br0590) 1994
Canale, Dunson (br0350) 2011; 106
Kohn, Smith, Chan (br0190) 2001; 11
Riphahn, Wambach, Million (br0660) 2003; 18
Suarez, A.J., Ghosal, S., 2016. Bayesian clustering of functional data using local features.
Shen, Ghosal (br0140) 2015; 42
Vines, Gilks, Wild (br0530) 1996; 6
Gelman, Carlin, Stern, Dunson, Vehtari, Rubin (br0500) 2015
van Dyk (br0550) 2000; 9
Vats, Flegal, Jones (br0640) 2019; 106
Hoover, Rice, Wu, Yang (br0050) 1998; 85
Gelman, Rubin (br0670) 1992; 7
Fan, Zhang (br0090) 2008; 1
Lenk, DeSarbo (br0220) 2000; 65
Park, van Dyk (br0520) 2009; 18
Smith, Kohn (br0170) 1996; 75
Müller, Erkanli, West (br0380) 1996; 83
Pitman, Yor (br0300) 1997
Wu, Chiang, Hoover (br0060) 1998; 93
van Dyk, Park (br0510) 2008; 103
Kyung (br0370) 2015; 22
Lau, Green (br0330) 2007; 16
Lu, Zhang (br0100) 2009; 21
James, Sugar (br0230) 2003; 98
Shi, Wang (br0250) 2008; 18
Rodriguez, A., Dunson, D.B., 2014. Functional clustering in nested designs: modeling variability in reproductive epidemiology studies.
Yerebakan, Rajwa, Dundar (br0360) 2014; vol. 27
MacEachern, Kottas, Gelfand (br0400) 2001; vol. 3
Varin, Czado (br0020) 2009; 11
Jeong, Park, van Dyk (br0580) 2022; 31
Zhu, Tang, Qu (br0490) 2021; 31
Hannah, Blei, Powell (br0480) 2011; 12
Margaritella, Inácio, King (br0460) 2021; 40
Petrone, Guindani, Gelfand (br0420) 2009; 71
Chipman, Kolaczyk, McCulloch (br0160) 1997; 92
Wallach, Jensen, Dicker, Heller (br0340) 2010
Wood (br0650) 2017
Chib, Greenberg (br0430) 2010; 156
Liang, Paulo, Molina, Clyde, Berger (br0610) 2008; 103
Ishwaran, James (br0310) 2001; 96
Lang, Brezger (br0070) 2004; 13
Park, Jeong (br0130) 2018; 52
Scott, Berger (br0600) 2010; 38
Ruppert, Wand, Carroll (br0200) 2003; vol. 12
Jeong, Park, Park (br0120) 2017; 112
Ray, Mallick (br0410) 2006; 68
Sun, Wu (br0080) 2005; 32
Teh, Jordan, Beal, Blei (br0320) 2006; 101
Park, Park, Lee (br0630) 2019; 131
Coffey, Hinde, Holian (br0270) 2014; 71
Hastie, Tibshirani (br0040) 1993
Kim, Choi, Emery (br0560) 2013; 67
Gelfand, Kottas, MacEachern (br0390) 2005; 100
Guerra, Shults, Amsterdam, Ten-Have (br0030) 2012; 31
DiMatteo, Genovese, Kass (br0180) 2001; 88
Heard, Holmes, Stephens (br0240) 2006; 101
Kang, Jeong (br0210) 2023
Aßmann, Boysen-Hogrefe (br0260) 2011; 55
Berrettini, Galimberti, Ranciati (br0280) 2022
Gelman (10.1016/j.csda.2023.107766_br0500) 2015
Teh (10.1016/j.csda.2023.107766_br0320) 2006; 101
Kohn (10.1016/j.csda.2023.107766_br0190) 2001; 11
Park (10.1016/j.csda.2023.107766_br0130) 2018; 52
Müller (10.1016/j.csda.2023.107766_br0380) 1996; 83
Pitman (10.1016/j.csda.2023.107766_br0300) 1997
Yerebakan (10.1016/j.csda.2023.107766_br0360) 2014; vol. 27
Meng (10.1016/j.csda.2023.107766_br0540) 1998; 60
Zhu (10.1016/j.csda.2023.107766_br0490) 2021; 31
DiMatteo (10.1016/j.csda.2023.107766_br0180) 2001; 88
Jeong (10.1016/j.csda.2023.107766_br0580) 2022; 31
Ruppert (10.1016/j.csda.2023.107766_br0200) 2003; vol. 12
Berrettini (10.1016/j.csda.2023.107766_br0280) 2022
Kuss (10.1016/j.csda.2023.107766_br0470) 2006; 48
Chipman (10.1016/j.csda.2023.107766_br0160) 1997; 92
Hastie (10.1016/j.csda.2023.107766_br0040) 1993
Lang (10.1016/j.csda.2023.107766_br0070) 2004; 13
Petrone (10.1016/j.csda.2023.107766_br0420) 2009; 71
Scott (10.1016/j.csda.2023.107766_br0600) 2010; 38
Stiratelli (10.1016/j.csda.2023.107766_br0010) 1984
van Dyk (10.1016/j.csda.2023.107766_br0510) 2008; 103
Sethuraman (10.1016/j.csda.2023.107766_br0590) 1994
Shi (10.1016/j.csda.2023.107766_br0250) 2008; 18
Shen (10.1016/j.csda.2023.107766_br0140) 2015; 42
Park (10.1016/j.csda.2023.107766_br0520) 2009; 18
Kyung (10.1016/j.csda.2023.107766_br0370) 2015; 22
Lu (10.1016/j.csda.2023.107766_br0100) 2009; 21
Jeong (10.1016/j.csda.2023.107766_br0110) 2016; 11
Vats (10.1016/j.csda.2023.107766_br0640) 2019; 106
Fan (10.1016/j.csda.2023.107766_br0090) 2008; 1
Varin (10.1016/j.csda.2023.107766_br0020) 2009; 11
Canale (10.1016/j.csda.2023.107766_br0350) 2011; 106
10.1016/j.csda.2023.107766_br0440
Vines (10.1016/j.csda.2023.107766_br0530) 1996; 6
Jeong (10.1016/j.csda.2023.107766_br0120) 2017; 112
Coffey (10.1016/j.csda.2023.107766_br0270) 2014; 71
Ishwaran (10.1016/j.csda.2023.107766_br0310) 2001; 96
Ray (10.1016/j.csda.2023.107766_br0410) 2006; 68
Guerra (10.1016/j.csda.2023.107766_br0030) 2012; 31
Liang (10.1016/j.csda.2023.107766_br0610) 2008; 103
Riphahn (10.1016/j.csda.2023.107766_br0660) 2003; 18
van Dyk (10.1016/j.csda.2023.107766_br0550) 2000; 9
Hannah (10.1016/j.csda.2023.107766_br0480) 2011; 12
Neal (10.1016/j.csda.2023.107766_br0150) 1998; 6
Ferguson (10.1016/j.csda.2023.107766_br0290) 1973
Lenk (10.1016/j.csda.2023.107766_br0220) 2000; 65
Park (10.1016/j.csda.2023.107766_br0630) 2019; 131
Park (10.1016/j.csda.2023.107766_br0570) 2016; 45
Gelman (10.1016/j.csda.2023.107766_br0670) 1992; 7
James (10.1016/j.csda.2023.107766_br0230) 2003; 98
10.1016/j.csda.2023.107766_br0450
Kang (10.1016/j.csda.2023.107766_br0210)
Kim (10.1016/j.csda.2023.107766_br0560) 2013; 67
Wood (10.1016/j.csda.2023.107766_br0650) 2017
Margaritella (10.1016/j.csda.2023.107766_br0460) 2021; 40
Zellner (10.1016/j.csda.2023.107766_br0620) 1986
Wu (10.1016/j.csda.2023.107766_br0060) 1998; 93
Hoover (10.1016/j.csda.2023.107766_br0050) 1998; 85
Wallach (10.1016/j.csda.2023.107766_br0340) 2010
Chib (10.1016/j.csda.2023.107766_br0430) 2010; 156
Aßmann (10.1016/j.csda.2023.107766_br0260) 2011; 55
Gelfand (10.1016/j.csda.2023.107766_br0390) 2005; 100
Heard (10.1016/j.csda.2023.107766_br0240) 2006; 101
Smith (10.1016/j.csda.2023.107766_br0170) 1996; 75
Sun (10.1016/j.csda.2023.107766_br0080) 2005; 32
Lau (10.1016/j.csda.2023.107766_br0330) 2007; 16
MacEachern (10.1016/j.csda.2023.107766_br0400) 2001; vol. 3
References_xml – volume: 9
  start-page: 78
  year: 2000
  end-page: 98
  ident: br0550
  article-title: Fitting mixed-effects models using efficient em-type algorithms
  publication-title: J. Comput. Graph. Stat.
– volume: 40
  start-page: 167
  year: 2021
  end-page: 184
  ident: br0460
  article-title: Parameter clustering in Bayesian functional principal component analysis of neuroscientific data
  publication-title: Stat. Med.
– volume: 18
  start-page: 387
  year: 2003
  end-page: 405
  ident: br0660
  article-title: Incentive effects in the demand for health care: a bivariate panel count data estimation
  publication-title: J. Appl. Econom.
– volume: 112
  start-page: 145
  year: 2017
  end-page: 153
  ident: br0120
  article-title: Analysis of binary longitudinal data with time-varying effects
  publication-title: Comput. Stat. Data Anal.
– volume: 101
  start-page: 18
  year: 2006
  end-page: 29
  ident: br0240
  article-title: A quantitative study of gene regulation involved in the immune response of anopheline mosquitoes: an application of Bayesian hierarchical clustering of curves
  publication-title: J. Am. Stat. Assoc.
– volume: 52
  start-page: 34
  year: 2018
  end-page: 49
  ident: br0130
  article-title: Analysis of Poisson varying-coefficient models with autoregression
  publication-title: Statistics
– start-page: 855
  year: 1997
  end-page: 900
  ident: br0300
  article-title: The two-parameter Poisson-Dirichlet distribution derived from a stable subordinator
  publication-title: Ann. Probab.
– start-page: 757
  year: 1993
  end-page: 796
  ident: br0040
  article-title: Varying-coefficient models
  publication-title: J. R. Stat. Soc., Ser. B, Methodol.
– volume: 100
  start-page: 1021
  year: 2005
  end-page: 1035
  ident: br0390
  article-title: Bayesian nonparametric spatial modeling with Dirichlet process mixing
  publication-title: J. Am. Stat. Assoc.
– volume: 11
  start-page: 1137
  year: 2016
  end-page: 1163
  ident: br0110
  article-title: Bayesian semiparametric inference on functional relationships in linear mixed models
  publication-title: Bayesian Anal.
– year: 2010
  ident: br0340
  article-title: An alternative prior process for nonparametric Bayesian clustering
  publication-title: Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics
– volume: 83
  start-page: 67
  year: 1996
  end-page: 79
  ident: br0380
  article-title: Bayesian curve fitting using multivariate normal mixtures
  publication-title: Biometrika
– volume: 18
  start-page: 283
  year: 2009
  end-page: 305
  ident: br0520
  article-title: Partially collapsed Gibbs samplers: illustrations and applications
  publication-title: J. Comput. Graph. Stat.
– volume: vol. 27
  year: 2014
  ident: br0360
  article-title: The Infinite Mixture of Infinite Gaussian Mixtures
  publication-title: Advances in Neural Information Processing Systems
– volume: 103
  start-page: 790
  year: 2008
  end-page: 796
  ident: br0510
  article-title: Partially collapsed Gibbs samplers: theory and methods
  publication-title: J. Am. Stat. Assoc.
– volume: 1
  start-page: 179
  year: 2008
  ident: br0090
  article-title: Statistical methods with varying coefficient models
  publication-title: Stat. Interface
– reference: Rodriguez, A., Dunson, D.B., 2014. Functional clustering in nested designs: modeling variability in reproductive epidemiology studies.
– reference: Suarez, A.J., Ghosal, S., 2016. Bayesian clustering of functional data using local features.
– start-page: 233
  year: 1986
  end-page: 243
  ident: br0620
  article-title: On assessing prior distributions and Bayesian regression analysis with g-prior distributions
  publication-title: Bayesian Inference and Decision Techniques: Essays in Honor of Bruno De Finetti 6
– volume: 12
  year: 2011
  ident: br0480
  article-title: Dirichlet process mixtures of generalized linear models
  publication-title: J. Mach. Learn. Res.
– volume: vol. 3
  start-page: 14
  year: 2001
  ident: br0400
  article-title: Spatial nonparametric Bayesian models
  publication-title: Proceedings of the 2001 Joint Statistical Meetings
– volume: 22
  start-page: 625
  year: 2015
  end-page: 637
  ident: br0370
  article-title: Dirichlet process mixtures of linear mixed regressions
  publication-title: Commun. Stat. Appl. Methods
– volume: 65
  start-page: 93
  year: 2000
  end-page: 119
  ident: br0220
  article-title: Bayesian inference for finite mixtures of generalized linear models with random effects
  publication-title: Psychometrika
– volume: 68
  start-page: 305
  year: 2006
  end-page: 332
  ident: br0410
  article-title: Functional clustering by Bayesian wavelet methods
  publication-title: J. R. Stat. Soc., Ser. B, Stat. Methodol.
– year: 2023
  ident: br0210
  article-title: Model selection-based estimation for generalized additive models using mixtures of g-priors: towards systematization
– volume: 11
  start-page: 127
  year: 2009
  end-page: 138
  ident: br0020
  article-title: A mixed autoregressive probit model for ordinal longitudinal data
  publication-title: Biostatistics
– start-page: 639
  year: 1994
  end-page: 650
  ident: br0590
  article-title: A constructive definition of Dirichlet priors
  publication-title: Stat. Sin.
– volume: 21
  start-page: 815
  year: 2009
  end-page: 825
  ident: br0100
  article-title: Smoothing spline estimation of generalised varying-coefficient mixed model
  publication-title: J. Nonparametr. Stat.
– volume: 18
  start-page: 267
  year: 2008
  end-page: 283
  ident: br0250
  article-title: Curve prediction and clustering with mixtures of gaussian process functional regression models
  publication-title: Stat. Comput.
– volume: 7
  start-page: 457
  year: 1992
  end-page: 472
  ident: br0670
  article-title: Inference from iterative simulation using multiple sequences
  publication-title: Stat. Sci.
– volume: 93
  start-page: 1388
  year: 1998
  end-page: 1402
  ident: br0060
  article-title: Asymptotic confidence regions for kernel smoothing of a varying-coefficient model with longitudinal data
  publication-title: J. Am. Stat. Assoc.
– volume: 98
  start-page: 397
  year: 2003
  end-page: 408
  ident: br0230
  article-title: Clustering for sparsely sampled functional data
  publication-title: J. Am. Stat. Assoc.
– volume: 92
  start-page: 1413
  year: 1997
  end-page: 1421
  ident: br0160
  article-title: Adaptive Bayesian wavelet shrinkage
  publication-title: J. Am. Stat. Assoc.
– volume: 42
  start-page: 1194
  year: 2015
  end-page: 1213
  ident: br0140
  article-title: Adaptive Bayesian procedures using random series priors
  publication-title: Scand. J. Stat.
– volume: vol. 12
  year: 2003
  ident: br0200
  article-title: Semiparametric Regression
– volume: 32
  start-page: 21
  year: 2005
  end-page: 47
  ident: br0080
  article-title: Semiparametric time-varying coefficients regression model for longitudinal data
  publication-title: Scand. J. Stat.
– volume: 11
  start-page: 313
  year: 2001
  end-page: 322
  ident: br0190
  article-title: Nonparametric regression using linear combinations of basis functions
  publication-title: Stat. Comput.
– volume: 101
  start-page: 1566
  year: 2006
  end-page: 1581
  ident: br0320
  article-title: Hierarchical Dirichlet processes
  publication-title: J. Am. Stat. Assoc.
– volume: 16
  start-page: 526
  year: 2007
  end-page: 558
  ident: br0330
  article-title: Bayesian model-based clustering procedures
  publication-title: J. Comput. Graph. Stat.
– volume: 45
  start-page: 165
  year: 2016
  end-page: 180
  ident: br0570
  article-title: Partially collapsed Gibbs sampling for linear mixed-effects models
  publication-title: Commun. Stat., Simul. Comput.
– volume: 106
  start-page: 1528
  year: 2011
  end-page: 1539
  ident: br0350
  article-title: Bayesian kernel mixtures for counts
  publication-title: J. Am. Stat. Assoc.
– volume: 75
  start-page: 317
  year: 1996
  end-page: 343
  ident: br0170
  article-title: Nonparametric regression using Bayesian variable selection
  publication-title: J. Econ.
– volume: 88
  start-page: 1055
  year: 2001
  end-page: 1071
  ident: br0180
  article-title: Bayesian curve-fitting with free-knot splines
  publication-title: Biometrika
– volume: 31
  start-page: 324
  year: 2022
  end-page: 336
  ident: br0580
  article-title: Bayesian model selection in additive partial linear models via locally adaptive splines
  publication-title: J. Comput. Graph. Stat.
– volume: 106
  start-page: 321
  year: 2019
  end-page: 337
  ident: br0640
  article-title: Multivariate output analysis for Markov chain Monte Carlo
  publication-title: Biometrika
– volume: 85
  start-page: 809
  year: 1998
  end-page: 822
  ident: br0050
  article-title: Nonparametric smoothing estimates of time-varying coefficient models with longitudinal data
  publication-title: Biometrika
– volume: 71
  start-page: 755
  year: 2009
  end-page: 782
  ident: br0420
  article-title: Hybrid Dirichlet mixture models for functional data
  publication-title: J. R. Stat. Soc., Ser. B, Stat. Methodol.
– volume: 31
  start-page: 603
  year: 2021
  end-page: 624
  ident: br0490
  article-title: Longitudinal clustering for heterogeneous binary data
  publication-title: Stat. Sin.
– volume: 96
  start-page: 161
  year: 2001
  end-page: 173
  ident: br0310
  article-title: Gibbs sampling methods for stick-breaking priors
  publication-title: J. Am. Stat. Assoc.
– volume: 48
  start-page: 105
  year: 2006
  end-page: 116
  ident: br0470
  article-title: Model-based clustering of binary longitudinal atopic dermatitis disease histories by latent class mixture models
  publication-title: Biom. J.
– volume: 103
  start-page: 410
  year: 2008
  end-page: 423
  ident: br0610
  article-title: Mixtures of
  publication-title: J. Am. Stat. Assoc.
– volume: 60
  start-page: 559
  year: 1998
  end-page: 578
  ident: br0540
  article-title: Fast em-type implementations for mixed effects models
  publication-title: J. R. Stat. Soc., Ser. B, Stat. Methodol.
– year: 2015
  ident: br0500
  article-title: Bayesian Data Analysis
– volume: 131
  start-page: 208
  year: 2019
  end-page: 218
  ident: br0630
  article-title: Partially collapsed Gibbs sampling for latent Dirichlet allocation
  publication-title: Expert Syst. Appl.
– volume: 71
  start-page: 14
  year: 2014
  end-page: 29
  ident: br0270
  article-title: Clustering longitudinal profiles using P-splines and mixed effects models applied to time-course gene expression data
  publication-title: Comput. Stat. Data Anal.
– volume: 55
  start-page: 261
  year: 2011
  end-page: 279
  ident: br0260
  article-title: A Bayesian approach to model-based clustering for binary panel probit models
  publication-title: Comput. Stat. Data Anal.
– start-page: 1
  year: 2022
  end-page: 31
  ident: br0280
  article-title: Semiparametric finite mixture of regression models with Bayesian P-splines
  publication-title: Adv. Data Anal. Classif.
– volume: 156
  start-page: 322
  year: 2010
  end-page: 336
  ident: br0430
  article-title: Additive cubic spline regression with Dirichlet process mixture errors
  publication-title: Econom. J.
– volume: 6
  start-page: 475
  year: 1998
  ident: br0150
  article-title: Regression and classification using gaussian process priors
  publication-title: Bayesian Stat.
– year: 2017
  ident: br0650
  article-title: Generalized Additive Models: An Introduction with R
– volume: 6
  start-page: 337
  year: 1996
  end-page: 346
  ident: br0530
  article-title: Fitting Bayesian multiple random effects models
  publication-title: Stat. Comput.
– volume: 13
  start-page: 183
  year: 2004
  end-page: 212
  ident: br0070
  article-title: Bayesian P-splines
  publication-title: J. Comput. Graph. Stat.
– volume: 67
  start-page: 171
  year: 2013
  end-page: 182
  ident: br0560
  article-title: Logistic regression with multiple random effects: a simulation study of estimation methods and statistical packages
  publication-title: Am. Stat.
– start-page: 961
  year: 1984
  end-page: 971
  ident: br0010
  article-title: Random-effects models for serial observations with binary response
  publication-title: Biometrics
– volume: 38
  start-page: 2587
  year: 2010
  end-page: 2619
  ident: br0600
  article-title: Bayes and empirical-Bayes multiplicity adjustment in the variable-selection problem
  publication-title: Ann. Stat.
– start-page: 209
  year: 1973
  end-page: 230
  ident: br0290
  article-title: A Bayesian analysis of some nonparametric problems
  publication-title: Ann. Stat.
– volume: 31
  start-page: 931
  year: 2012
  end-page: 948
  ident: br0030
  article-title: The analysis of binary longitudinal data with time-dependent covariates
  publication-title: Stat. Med.
– volume: 31
  start-page: 931
  year: 2012
  ident: 10.1016/j.csda.2023.107766_br0030
  article-title: The analysis of binary longitudinal data with time-dependent covariates
  publication-title: Stat. Med.
  doi: 10.1002/sim.4465
– volume: 6
  start-page: 475
  year: 1998
  ident: 10.1016/j.csda.2023.107766_br0150
  article-title: Regression and classification using gaussian process priors
  publication-title: Bayesian Stat.
– volume: 48
  start-page: 105
  year: 2006
  ident: 10.1016/j.csda.2023.107766_br0470
  article-title: Model-based clustering of binary longitudinal atopic dermatitis disease histories by latent class mixture models
  publication-title: Biom. J.
  doi: 10.1002/bimj.200410162
– volume: 83
  start-page: 67
  year: 1996
  ident: 10.1016/j.csda.2023.107766_br0380
  article-title: Bayesian curve fitting using multivariate normal mixtures
  publication-title: Biometrika
  doi: 10.1093/biomet/83.1.67
– volume: 6
  start-page: 337
  year: 1996
  ident: 10.1016/j.csda.2023.107766_br0530
  article-title: Fitting Bayesian multiple random effects models
  publication-title: Stat. Comput.
  doi: 10.1007/BF00143554
– volume: 112
  start-page: 145
  year: 2017
  ident: 10.1016/j.csda.2023.107766_br0120
  article-title: Analysis of binary longitudinal data with time-varying effects
  publication-title: Comput. Stat. Data Anal.
  doi: 10.1016/j.csda.2017.03.007
– start-page: 757
  year: 1993
  ident: 10.1016/j.csda.2023.107766_br0040
  article-title: Varying-coefficient models
  publication-title: J. R. Stat. Soc., Ser. B, Methodol.
  doi: 10.1111/j.2517-6161.1993.tb01939.x
– volume: 101
  start-page: 18
  year: 2006
  ident: 10.1016/j.csda.2023.107766_br0240
  article-title: A quantitative study of gene regulation involved in the immune response of anopheline mosquitoes: an application of Bayesian hierarchical clustering of curves
  publication-title: J. Am. Stat. Assoc.
  doi: 10.1198/016214505000000187
– volume: vol. 12
  year: 2003
  ident: 10.1016/j.csda.2023.107766_br0200
– volume: 65
  start-page: 93
  year: 2000
  ident: 10.1016/j.csda.2023.107766_br0220
  article-title: Bayesian inference for finite mixtures of generalized linear models with random effects
  publication-title: Psychometrika
  doi: 10.1007/BF02294188
– volume: 18
  start-page: 283
  year: 2009
  ident: 10.1016/j.csda.2023.107766_br0520
  article-title: Partially collapsed Gibbs samplers: illustrations and applications
  publication-title: J. Comput. Graph. Stat.
  doi: 10.1198/jcgs.2009.08108
– year: 2010
  ident: 10.1016/j.csda.2023.107766_br0340
  article-title: An alternative prior process for nonparametric Bayesian clustering
– volume: 31
  start-page: 603
  year: 2021
  ident: 10.1016/j.csda.2023.107766_br0490
  article-title: Longitudinal clustering for heterogeneous binary data
  publication-title: Stat. Sin.
– volume: 131
  start-page: 208
  year: 2019
  ident: 10.1016/j.csda.2023.107766_br0630
  article-title: Partially collapsed Gibbs sampling for latent Dirichlet allocation
  publication-title: Expert Syst. Appl.
  doi: 10.1016/j.eswa.2019.04.028
– volume: 52
  start-page: 34
  year: 2018
  ident: 10.1016/j.csda.2023.107766_br0130
  article-title: Analysis of Poisson varying-coefficient models with autoregression
  publication-title: Statistics
  doi: 10.1080/02331888.2017.1353514
– volume: 31
  start-page: 324
  year: 2022
  ident: 10.1016/j.csda.2023.107766_br0580
  article-title: Bayesian model selection in additive partial linear models via locally adaptive splines
  publication-title: J. Comput. Graph. Stat.
  doi: 10.1080/10618600.2021.1999827
– start-page: 233
  year: 1986
  ident: 10.1016/j.csda.2023.107766_br0620
  article-title: On assessing prior distributions and Bayesian regression analysis with g-prior distributions
– volume: 96
  start-page: 161
  year: 2001
  ident: 10.1016/j.csda.2023.107766_br0310
  article-title: Gibbs sampling methods for stick-breaking priors
  publication-title: J. Am. Stat. Assoc.
  doi: 10.1198/016214501750332758
– volume: 11
  start-page: 1137
  year: 2016
  ident: 10.1016/j.csda.2023.107766_br0110
  article-title: Bayesian semiparametric inference on functional relationships in linear mixed models
  publication-title: Bayesian Anal.
  doi: 10.1214/15-BA987
– volume: 85
  start-page: 809
  year: 1998
  ident: 10.1016/j.csda.2023.107766_br0050
  article-title: Nonparametric smoothing estimates of time-varying coefficient models with longitudinal data
  publication-title: Biometrika
  doi: 10.1093/biomet/85.4.809
– volume: 88
  start-page: 1055
  year: 2001
  ident: 10.1016/j.csda.2023.107766_br0180
  article-title: Bayesian curve-fitting with free-knot splines
  publication-title: Biometrika
  doi: 10.1093/biomet/88.4.1055
– volume: vol. 3
  start-page: 14
  year: 2001
  ident: 10.1016/j.csda.2023.107766_br0400
  article-title: Spatial nonparametric Bayesian models
– volume: 93
  start-page: 1388
  year: 1998
  ident: 10.1016/j.csda.2023.107766_br0060
  article-title: Asymptotic confidence regions for kernel smoothing of a varying-coefficient model with longitudinal data
  publication-title: J. Am. Stat. Assoc.
  doi: 10.1080/01621459.1998.10473800
– volume: 7
  start-page: 457
  year: 1992
  ident: 10.1016/j.csda.2023.107766_br0670
  article-title: Inference from iterative simulation using multiple sequences
  publication-title: Stat. Sci.
  doi: 10.1214/ss/1177011136
– start-page: 961
  year: 1984
  ident: 10.1016/j.csda.2023.107766_br0010
  article-title: Random-effects models for serial observations with binary response
  publication-title: Biometrics
  doi: 10.2307/2531147
– volume: 67
  start-page: 171
  year: 2013
  ident: 10.1016/j.csda.2023.107766_br0560
  article-title: Logistic regression with multiple random effects: a simulation study of estimation methods and statistical packages
  publication-title: Am. Stat.
  doi: 10.1080/00031305.2013.817357
– volume: 32
  start-page: 21
  year: 2005
  ident: 10.1016/j.csda.2023.107766_br0080
  article-title: Semiparametric time-varying coefficients regression model for longitudinal data
  publication-title: Scand. J. Stat.
  doi: 10.1111/j.1467-9469.2005.00413.x
– volume: 68
  start-page: 305
  year: 2006
  ident: 10.1016/j.csda.2023.107766_br0410
  article-title: Functional clustering by Bayesian wavelet methods
  publication-title: J. R. Stat. Soc., Ser. B, Stat. Methodol.
  doi: 10.1111/j.1467-9868.2006.00545.x
– volume: 18
  start-page: 267
  year: 2008
  ident: 10.1016/j.csda.2023.107766_br0250
  article-title: Curve prediction and clustering with mixtures of gaussian process functional regression models
  publication-title: Stat. Comput.
  doi: 10.1007/s11222-008-9055-1
– volume: 106
  start-page: 1528
  year: 2011
  ident: 10.1016/j.csda.2023.107766_br0350
  article-title: Bayesian kernel mixtures for counts
  publication-title: J. Am. Stat. Assoc.
  doi: 10.1198/jasa.2011.tm10552
– year: 2015
  ident: 10.1016/j.csda.2023.107766_br0500
– start-page: 209
  year: 1973
  ident: 10.1016/j.csda.2023.107766_br0290
  article-title: A Bayesian analysis of some nonparametric problems
  publication-title: Ann. Stat.
– volume: 22
  start-page: 625
  year: 2015
  ident: 10.1016/j.csda.2023.107766_br0370
  article-title: Dirichlet process mixtures of linear mixed regressions
  publication-title: Commun. Stat. Appl. Methods
– volume: 9
  start-page: 78
  year: 2000
  ident: 10.1016/j.csda.2023.107766_br0550
  article-title: Fitting mixed-effects models using efficient em-type algorithms
  publication-title: J. Comput. Graph. Stat.
  doi: 10.1080/10618600.2000.10474867
– ident: 10.1016/j.csda.2023.107766_br0440
  doi: 10.1214/14-AOAS751
– volume: 100
  start-page: 1021
  year: 2005
  ident: 10.1016/j.csda.2023.107766_br0390
  article-title: Bayesian nonparametric spatial modeling with Dirichlet process mixing
  publication-title: J. Am. Stat. Assoc.
  doi: 10.1198/016214504000002078
– volume: 21
  start-page: 815
  year: 2009
  ident: 10.1016/j.csda.2023.107766_br0100
  article-title: Smoothing spline estimation of generalised varying-coefficient mixed model
  publication-title: J. Nonparametr. Stat.
  doi: 10.1080/10485250903151078
– volume: 18
  start-page: 387
  year: 2003
  ident: 10.1016/j.csda.2023.107766_br0660
  article-title: Incentive effects in the demand for health care: a bivariate panel count data estimation
  publication-title: J. Appl. Econom.
  doi: 10.1002/jae.680
– volume: 11
  start-page: 127
  year: 2009
  ident: 10.1016/j.csda.2023.107766_br0020
  article-title: A mixed autoregressive probit model for ordinal longitudinal data
  publication-title: Biostatistics
  doi: 10.1093/biostatistics/kxp042
– ident: 10.1016/j.csda.2023.107766_br0210
– start-page: 855
  year: 1997
  ident: 10.1016/j.csda.2023.107766_br0300
  article-title: The two-parameter Poisson-Dirichlet distribution derived from a stable subordinator
  publication-title: Ann. Probab.
– ident: 10.1016/j.csda.2023.107766_br0450
  doi: 10.1214/14-BA925
– volume: 12
  year: 2011
  ident: 10.1016/j.csda.2023.107766_br0480
  article-title: Dirichlet process mixtures of generalized linear models
  publication-title: J. Mach. Learn. Res.
– volume: 1
  start-page: 179
  year: 2008
  ident: 10.1016/j.csda.2023.107766_br0090
  article-title: Statistical methods with varying coefficient models
  publication-title: Stat. Interface
  doi: 10.4310/SII.2008.v1.n1.a15
– year: 2017
  ident: 10.1016/j.csda.2023.107766_br0650
– volume: 75
  start-page: 317
  year: 1996
  ident: 10.1016/j.csda.2023.107766_br0170
  article-title: Nonparametric regression using Bayesian variable selection
  publication-title: J. Econ.
  doi: 10.1016/0304-4076(95)01763-1
– volume: 156
  start-page: 322
  year: 2010
  ident: 10.1016/j.csda.2023.107766_br0430
  article-title: Additive cubic spline regression with Dirichlet process mixture errors
  publication-title: Econom. J.
  doi: 10.1016/j.jeconom.2009.11.002
– volume: 38
  start-page: 2587
  year: 2010
  ident: 10.1016/j.csda.2023.107766_br0600
  article-title: Bayes and empirical-Bayes multiplicity adjustment in the variable-selection problem
  publication-title: Ann. Stat.
  doi: 10.1214/10-AOS792
– volume: 98
  start-page: 397
  year: 2003
  ident: 10.1016/j.csda.2023.107766_br0230
  article-title: Clustering for sparsely sampled functional data
  publication-title: J. Am. Stat. Assoc.
  doi: 10.1198/016214503000189
– volume: 92
  start-page: 1413
  year: 1997
  ident: 10.1016/j.csda.2023.107766_br0160
  article-title: Adaptive Bayesian wavelet shrinkage
  publication-title: J. Am. Stat. Assoc.
  doi: 10.1080/01621459.1997.10473662
– volume: vol. 27
  year: 2014
  ident: 10.1016/j.csda.2023.107766_br0360
  article-title: The Infinite Mixture of Infinite Gaussian Mixtures
– volume: 103
  start-page: 410
  year: 2008
  ident: 10.1016/j.csda.2023.107766_br0610
  article-title: Mixtures of g priors for Bayesian variable selection
  publication-title: J. Am. Stat. Assoc.
  doi: 10.1198/016214507000001337
– volume: 45
  start-page: 165
  year: 2016
  ident: 10.1016/j.csda.2023.107766_br0570
  article-title: Partially collapsed Gibbs sampling for linear mixed-effects models
  publication-title: Commun. Stat., Simul. Comput.
  doi: 10.1080/03610918.2013.857687
– volume: 103
  start-page: 790
  year: 2008
  ident: 10.1016/j.csda.2023.107766_br0510
  article-title: Partially collapsed Gibbs samplers: theory and methods
  publication-title: J. Am. Stat. Assoc.
  doi: 10.1198/016214508000000409
– start-page: 1
  year: 2022
  ident: 10.1016/j.csda.2023.107766_br0280
  article-title: Semiparametric finite mixture of regression models with Bayesian P-splines
  publication-title: Adv. Data Anal. Classif.
– volume: 16
  start-page: 526
  year: 2007
  ident: 10.1016/j.csda.2023.107766_br0330
  article-title: Bayesian model-based clustering procedures
  publication-title: J. Comput. Graph. Stat.
  doi: 10.1198/106186007X238855
– volume: 42
  start-page: 1194
  year: 2015
  ident: 10.1016/j.csda.2023.107766_br0140
  article-title: Adaptive Bayesian procedures using random series priors
  publication-title: Scand. J. Stat.
  doi: 10.1111/sjos.12159
– volume: 106
  start-page: 321
  year: 2019
  ident: 10.1016/j.csda.2023.107766_br0640
  article-title: Multivariate output analysis for Markov chain Monte Carlo
  publication-title: Biometrika
  doi: 10.1093/biomet/asz002
– volume: 13
  start-page: 183
  year: 2004
  ident: 10.1016/j.csda.2023.107766_br0070
  article-title: Bayesian P-splines
  publication-title: J. Comput. Graph. Stat.
  doi: 10.1198/1061860043010
– volume: 71
  start-page: 755
  year: 2009
  ident: 10.1016/j.csda.2023.107766_br0420
  article-title: Hybrid Dirichlet mixture models for functional data
  publication-title: J. R. Stat. Soc., Ser. B, Stat. Methodol.
  doi: 10.1111/j.1467-9868.2009.00708.x
– volume: 101
  start-page: 1566
  year: 2006
  ident: 10.1016/j.csda.2023.107766_br0320
  article-title: Hierarchical Dirichlet processes
  publication-title: J. Am. Stat. Assoc.
  doi: 10.1198/016214506000000302
– volume: 55
  start-page: 261
  year: 2011
  ident: 10.1016/j.csda.2023.107766_br0260
  article-title: A Bayesian approach to model-based clustering for binary panel probit models
  publication-title: Comput. Stat. Data Anal.
  doi: 10.1016/j.csda.2010.04.016
– start-page: 639
  year: 1994
  ident: 10.1016/j.csda.2023.107766_br0590
  article-title: A constructive definition of Dirichlet priors
  publication-title: Stat. Sin.
– volume: 60
  start-page: 559
  year: 1998
  ident: 10.1016/j.csda.2023.107766_br0540
  article-title: Fast em-type implementations for mixed effects models
  publication-title: J. R. Stat. Soc., Ser. B, Stat. Methodol.
  doi: 10.1111/1467-9868.00140
– volume: 11
  start-page: 313
  year: 2001
  ident: 10.1016/j.csda.2023.107766_br0190
  article-title: Nonparametric regression using linear combinations of basis functions
  publication-title: Stat. Comput.
  doi: 10.1023/A:1011916902934
– volume: 71
  start-page: 14
  year: 2014
  ident: 10.1016/j.csda.2023.107766_br0270
  article-title: Clustering longitudinal profiles using P-splines and mixed effects models applied to time-course gene expression data
  publication-title: Comput. Stat. Data Anal.
  doi: 10.1016/j.csda.2013.04.001
– volume: 40
  start-page: 167
  year: 2021
  ident: 10.1016/j.csda.2023.107766_br0460
  article-title: Parameter clustering in Bayesian functional principal component analysis of neuroscientific data
  publication-title: Stat. Med.
  doi: 10.1002/sim.8768
SSID ssj0002478
Score 2.3740623
Snippet In the analysis of binary longitudinal data, it is of interest to model a dynamic relationship between a response and covariates as a function of time, while...
SourceID proquest
crossref
elsevier
SourceType Aggregation Database
Enrichment Source
Index Database
Publisher
StartPage 107766
SubjectTerms data analysis
Dirichlet process
Longitudinal data
Partial collapsed Gibbs sampler
Probit mixed models
statistics
Varying-coefficients
Title Functional clustering methods for binary longitudinal data with temporal heterogeneity
URI https://dx.doi.org/10.1016/j.csda.2023.107766
https://www.proquest.com/docview/2834277570
Volume 185
hasFullText 1
inHoldings 1
isFullTextHit
isPrint
link http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV07T8MwELaqssCAeIryqIzEhkITP5pkrCqqQtUOQKGb5TiOKKrSirYrv527OAGBUAemJJYdRefz3Wfn7jtCrmLuJyZOYH1nTHtCwl0UaukJngjpW-sHBhOch6N2fyzuJ3JSI90qFwbDKkvb72x6Ya3LllYpzdZiOm09YgB9LEIOIBpJaZATVIgQtfzm4zvMgwlnjZHfG3uXiTMuxsssU-QeYhwaQseU-Kdz-mWmC9_T2yO7JWikHfdd-6Rm8wOyM_xiXF0ekuceOCh3rkfNbI30B-CUqCsQvaQATWlSpN7S2RxLFK1TLIdFMUCU4lksLTmqZvQVA2TmoFcWAPoRGfdun7p9r6yZ4BnO-cozLAtSaSMABoDFWDuTsMEy3GQ6jGLDAN_ZdhpZwbmNdZIAGDA81Zz5OuAyFhk_JvV8ntsTQmEjl6Q6MDrlqfAzBrMtANxF2spMSy0bJKiEpUxJKI51LWaqihx7UyhghQJWTsANcv01ZuHoNDb2ltUcqB9KocDebxx3WU2YgtWCv0B0bufrpQIwJVgYytA__ee7z8g2Prkws3NSX72v7QXgklXSLBSvSbY6d4P-CK-Dh5fBJ6hp5II
linkProvider Elsevier
linkToHtml http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwtV1LT9wwEB7xOAAHVF7i0RYjlRMKm_ixSQ49VG1XS2G5FBA34ziOWLTaRWRXiEv_VP9gZ9YOCIQ4VOIWOXEUjcfzcL75BuBLLuLC5gXu74qbSCq8ylKjIikKqWLn4sRSgXPvtN09l78u1eUM_G1qYQhWGWy_t-lTax1GWkGardt-v_WbAPS5TAUG0URKIwOy8tg93GPeVn89-oGLvM955-fZ924UWgtEVggxjiyvklK5DP0nhiy8XSnMQ6ywlUmz3HIMg1y7zJwUwuWmKNBnWlEawWOTCJXLSuB7Z2FeormgtgmHf55wJVx680-E4vR5oVLHg8psXRLZERc4kHpqxle94Qu_MHV2nQ-wHKJU9s0LYgVm3HAVlnqPFK_1Glx00CP6g0RmBxPiW0AvyHxH6pphLMyKaa0vG4yoJ9KkpP5bjBCpjA5_WSDFGrBrQuSMUJEdZgTrcP4uktyAueFo6DaBYeZYlCaxphSljCuO6iUxmsyMU5VRRm1B0ghL28BgTo00BrqBqt1oErAmAWsv4C04eJxz6_k73nxaNWugn2mhRgfz5ry9ZsE0bk_652KGbjSpNUZvkqepSuPt_3z3Lix0z3on-uTo9HgHFumOx7h9hLnx3cR9wqBoXHyeKiGDq_fW-n-atx18
openUrl ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Functional+clustering+methods+for+binary+longitudinal+data+with+temporal+heterogeneity&rft.jtitle=Computational+statistics+%26+data+analysis&rft.au=Sohn%2C+Jinwon&rft.au=Jeong%2C+Seonghyun&rft.au=Cho%2C+Young+Min&rft.au=Park%2C+Taeyoung&rft.date=2023-09-01&rft.issn=0167-9473&rft.volume=185&rft.spage=107766&rft_id=info:doi/10.1016%2Fj.csda.2023.107766&rft.externalDBID=n%2Fa&rft.externalDocID=10_1016_j_csda_2023_107766
thumbnail_l http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=0167-9473&client=summon
thumbnail_m http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=0167-9473&client=summon
thumbnail_s http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=0167-9473&client=summon