Mean Estimation and Regression Under Heavy-Tailed Distributions: A Survey
We survey some of the recent advances in mean estimation and regression function estimation. In particular, we describe sub-Gaussian mean estimators for possibly heavy-tailed data in both the univariate and multivariate settings. We focus on estimators based on median-of-means techniques, but other...
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Published in | Foundations of computational mathematics Vol. 19; no. 5; pp. 1145 - 1190 |
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Main Authors | , |
Format | Journal Article |
Language | English |
Published |
New York
Springer US
01.10.2019
Springer Springer Nature B.V |
Subjects | |
Online Access | Get full text |
ISSN | 1615-3375 1615-3383 |
DOI | 10.1007/s10208-019-09427-x |
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Abstract | We survey some of the recent advances in mean estimation and regression function estimation. In particular, we describe sub-Gaussian mean estimators for possibly heavy-tailed data in both the univariate and multivariate settings. We focus on estimators based on median-of-means techniques, but other methods such as the trimmed-mean and Catoni’s estimators are also reviewed. We give detailed proofs for the cornerstone results. We dedicate a section to statistical learning problems—in particular, regression function estimation—in the presence of possibly heavy-tailed data. |
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AbstractList | We survey some of the recent advances in mean estimation and regression function estimation. In particular, we describe sub-Gaussian mean estimators for possibly heavy-tailed data in both the univariate and multivariate settings. We focus on estimators based on median-of-means techniques, but other methods such as the trimmed-mean and Catoni’s estimators are also reviewed. We give detailed proofs for the cornerstone results. We dedicate a section to statistical learning problems—in particular, regression function estimation—in the presence of possibly heavy-tailed data. |
Audience | Academic |
Author | Mendelson, Shahar Lugosi, Gábor |
Author_xml | – sequence: 1 givenname: Gábor surname: Lugosi fullname: Lugosi, Gábor email: gabor.lugosi@upf.edu organization: Department of Economics and Business, Pompeu Fabra University, ICREA, Barcelona Graduate School of Economics – sequence: 2 givenname: Shahar surname: Mendelson fullname: Mendelson, Shahar organization: Mathematical Sciences Institute, The Australian National University, LPSM, Sorbonne University |
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Cites_doi | 10.1007/978-1-4612-0711-5 10.1214/aoms/1177700058 10.1111/rssb.12166 10.1214/aoms/1177703732 10.1214/11-AOS918 10.3150/13-BEJ533 10.1016/0304-3975(86)90174-X 10.1080/01621459.1963.10500830 10.1214/17-EJS1228 10.1006/jcss.1997.1545 10.1214/009053605000000282 10.1214/11-AIHP454 10.1214/17-AOS1639 10.1017/CBO9780511624216 10.1007/978-3-642-20192-9_6 10.1093/acprof:oso/9780199535255.001.0001 10.1145/76359.76371 10.3150/14-BEJ645 10.1214/15-AOS1350 10.1214/18-EJS1427 10.1007/s00440-017-0784-y 10.1007/s00222-016-0673-5 10.1214/aos/1176342412 10.1109/TIT.2013.2277869 10.3150/15-BEJ701 10.1007/b13794 10.1145/1968.1972 10.1214/17-AOS1675 10.1145/2699439 10.1214/17-AOS1642 10.1090/dimacs/072/10 10.1007/b97848 10.1007/978-3-642-20212-4 10.1002/rsa.20839 10.1109/FOCS.2016.85 10.1007/978-1-4757-2545-2 10.1145/3055399.3055491 10.1093/oso/9780198534990.003.0002 10.1007/s00440-019-00906-4 10.1145/3188745.3188970 10.1134/S1064562414030338 10.1145/2897518.2897647 10.1007/BFb0077482 10.3150/18-BEJ1046 10.1002/9780470434697 10.1145/3188745.3188748 10.1214/19-AOS1828 10.4171/JEMS/937 10.1007/978-3-642-22147-7 10.1137/1.9781611975031.171 10.1214/16-AOS1440 |
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References | Baraud, Birgé, Sart (CR6) 2017; 207 Small (CR73) 1990; 58 Lecué, Mendelson (CR50) 2016; 22 Loh, Tan (CR54) 2018; 12 Fan, Li, Wang (CR28) 2017; 79 CR39 CR37 CR35 CR34 CR33 CR77 CR31 Hoeffding (CR32) 1963; 58 CR75 Anthony, Bartlett (CR3) 1999 CR72 CR71 CR70 Audibert, Catoni (CR4) 2011; 39 Hsu, Sabato (CR36) 2016; 17 Aloupis (CR2) 2006; 72 Bubeck, Cesa-Bianchi, Lugosi (CR12) 2013; 59 Devroye, Györfi, Lugosi (CR21) 1996 van der Waart, Wellner (CR81) 1996 Joly, Lugosi, Oliveira (CR41) 2017; 11 Bartlett, Bousquet, Mendelson (CR7) 2005; 33 CR49 CR48 CR47 CR46 Lugosi, Mendelson (CR56) 2019; 47 CR45 CR44 CR43 CR42 Brownlees, Joly, Lugosi (CR11) 2015; 43 CR83 CR82 CR80 Catoni (CR14) 2012; 48 Ledoux (CR51) 2001 Tukey, McLaughlin (CR78) 1963; 25 CR18 CR17 CR16 Blumer, Ehrenfeucht, Haussler, Warmuth (CR9) 1989; 36 Boucheron, Lugosi, Massart (CR10) 2013 CR15 CR59 CR58 CR57 CR55 CR53 Chichignoud, Lederer (CR19) 2014; 20 Alon, Matias, Szegedy (CR1) 2002; 58 Stigler (CR74) 1973; 1 Jerrum, Valiant, Vazirani (CR40) 1986; 43 Huber (CR38) 1964; 35 Minsker (CR65) 2015; 21 Mendelson (CR63) 2018; 171 Ledoux, Talagrand (CR52) 1991 CR27 CR26 CR25 CR69 Tsybakov (CR76) 2009 CR24 CR68 CR23 Minsker (CR66) 2018; 46 CR67 CR22 CR20 CR64 Bickel (CR8) 1965; 36 Bühlmann, van de Geer (CR13) 2011 Mendelson (CR61) 2015; 62 Baraud, Birgé (CR5) 2018; 46 Györfi, Kohler, Krzyżak, Walk (CR29) 2002 CR62 Valiant (CR79) 1984; 27 CR60 Hampel, Ronchetti, Rousseeuw, Stahel (CR30) 1986 PJ Bickel (9427_CR8) 1965; 36 M Chichignoud (9427_CR19) 2014; 20 N Alon (9427_CR1) 2002; 58 9427_CR22 9427_CR23 9427_CR67 9427_CR20 9427_CR64 Y Baraud (9427_CR6) 2017; 207 9427_CR62 9427_CR60 S Mendelson (9427_CR63) 2018; 171 9427_CR26 9427_CR27 9427_CR24 9427_CR68 9427_CR25 9427_CR69 Peter Bühlmann (9427_CR13) 2011 Po-Ling Loh (9427_CR54) 2018; 12 M Jerrum (9427_CR40) 1986; 43 9427_CR55 PL Bartlett (9427_CR7) 2005; 33 S Boucheron (9427_CR10) 2013 9427_CR53 M Anthony (9427_CR3) 1999 9427_CR17 9427_CR18 S Minsker (9427_CR65) 2015; 21 9427_CR15 9427_CR59 AB Tsybakov (9427_CR76) 2009 9427_CR16 9427_CR57 9427_CR58 9427_CR80 Y Baraud (9427_CR5) 2018; 46 PJ Huber (9427_CR38) 1964; 35 9427_CR44 9427_CR45 9427_CR42 M Ledoux (9427_CR51) 2001 L Devroye (9427_CR21) 1996 9427_CR43 Christopher G. Small (9427_CR73) 1990; 58 9427_CR82 9427_CR83 JW Tukey (9427_CR78) 1963; 25 G Lecué (9427_CR50) 2016; 22 9427_CR48 C Brownlees (9427_CR11) 2015; 43 9427_CR49 9427_CR46 9427_CR47 A Blumer (9427_CR9) 1989; 36 M Ledoux (9427_CR52) 1991 FR Hampel (9427_CR30) 1986 G Lugosi (9427_CR56) 2019; 47 W Hoeffding (9427_CR32) 1963; 58 J-Y Audibert (9427_CR4) 2011; 39 9427_CR70 O Catoni (9427_CR14) 2012; 48 9427_CR33 Stanislav Minsker (9427_CR66) 2018; 46 9427_CR77 9427_CR34 9427_CR31 9427_CR75 9427_CR71 AW van der Waart (9427_CR81) 1996 9427_CR72 LG Valiant (9427_CR79) 1984; 27 D Hsu (9427_CR36) 2016; 17 9427_CR39 9427_CR37 S Mendelson (9427_CR61) 2015; 62 SM Stigler (9427_CR74) 1973; 1 9427_CR35 G Aloupis (9427_CR2) 2006; 72 J Fan (9427_CR28) 2017; 79 L Györfi (9427_CR29) 2002 S Bubeck (9427_CR12) 2013; 59 E Joly (9427_CR41) 2017; 11 |
References_xml | – ident: CR45 – ident: CR70 – ident: CR22 – year: 1996 ident: CR21 publication-title: A Probabilistic Theory of Pattern Recognition doi: 10.1007/978-1-4612-0711-5 – volume: 36 start-page: 847 year: 1965 end-page: 858 ident: CR8 article-title: On some robust estimates of location publication-title: The Annals of Mathematical Statistics doi: 10.1214/aoms/1177700058 – ident: CR49 – ident: CR68 – volume: 79 start-page: 247 issue: 1 year: 2017 end-page: 265 ident: CR28 article-title: Estimation of high dimensional mean regression in the absence of symmetry and light tail assumptions publication-title: Journal of the Royal Statistical Society: Series B (Statistical Methodology) doi: 10.1111/rssb.12166 – volume: 35 start-page: 73 issue: 1 year: 1964 end-page: 101 ident: CR38 article-title: Robust estimation of a location parameter publication-title: The annals of mathematical statistics doi: 10.1214/aoms/1177703732 – volume: 39 start-page: 2766 year: 2011 end-page: 2794 ident: CR4 article-title: Robust linear least squares regression publication-title: The Annals of Statistics doi: 10.1214/11-AOS918 – ident: CR39 – ident: CR16 – volume: 20 start-page: 1560 issue: 3 year: 2014 end-page: 1599 ident: CR19 article-title: A robust, adaptive m-estimator for pointwise estimation in heteroscedastic regression publication-title: Bernoulli doi: 10.3150/13-BEJ533 – ident: CR35 – volume: 43 start-page: 186 year: 1986 end-page: 188 ident: CR40 article-title: Random generation of combinatorial structures from a uniform distribution publication-title: Theoretical Computer Science doi: 10.1016/0304-3975(86)90174-X – year: 2001 ident: CR51 publication-title: The concentration of measure phenomenon – year: 1986 ident: CR30 publication-title: Robust statistics: the approach based on influence functions – ident: CR80 – ident: CR77 – ident: CR58 – ident: CR25 – volume: 58 start-page: 13 year: 1963 end-page: 30 ident: CR32 article-title: Probability inequalities for sums of bounded random variables publication-title: Journal of the American Statistical Association doi: 10.1080/01621459.1963.10500830 – volume: 11 start-page: 440 year: 2017 end-page: 451 ident: CR41 article-title: On the estimation of the mean of a random vector publication-title: Electronic Journal of Statistics doi: 10.1214/17-EJS1228 – ident: CR42 – volume: 25 start-page: 331 year: 1963 end-page: 352 ident: CR78 article-title: Less vulnerable confidence and significance procedures for location based on a single sample: Trimming/winsorization 1 publication-title: Sankhyā: The Indian Journal of Statistics, Series A – volume: 58 start-page: 137 year: 2002 end-page: 147 ident: CR1 article-title: The space complexity of approximating the frequency moments publication-title: Journal of Computer and System Sciences doi: 10.1006/jcss.1997.1545 – volume: 33 start-page: 1497 year: 2005 end-page: 1537 ident: CR7 article-title: Localized Rademacher complexities publication-title: Annals of Statistics doi: 10.1214/009053605000000282 – ident: CR46 – ident: CR71 – volume: 48 start-page: 1148 issue: 4 year: 2012 end-page: 1185 ident: CR14 article-title: Challenging the empirical mean and empirical variance: a deviation study publication-title: Annales de l’Institut Henri Poincaré, Probabilités et Statistiques doi: 10.1214/11-AIHP454 – volume: 47 start-page: 783 year: 2019 end-page: 794 ident: CR56 article-title: Sub-Gaussian estimators of the mean of a random vector publication-title: Annals of Statistics doi: 10.1214/17-AOS1639 – ident: CR67 – ident: CR75 – ident: CR15 – ident: CR57 – year: 1999 ident: CR3 publication-title: Neural Network Learning: Theoretical Foundations doi: 10.1017/CBO9780511624216 – ident: CR60 – start-page: 99 year: 2011 end-page: 182 ident: CR13 article-title: Theory for the Lasso publication-title: Statistics for High-Dimensional Data doi: 10.1007/978-3-642-20192-9_6 – ident: CR64 – year: 2013 ident: CR10 publication-title: Concentration inequalities: A Nonasymptotic Theory of Independence doi: 10.1093/acprof:oso/9780199535255.001.0001 – ident: CR26 – ident: CR18 – ident: CR43 – ident: CR47 – ident: CR72 – volume: 36 start-page: 929 year: 1989 end-page: 965 ident: CR9 article-title: Learnability and the Vapnik–Chervonenkis dimension publication-title: Journal of the ACM doi: 10.1145/76359.76371 – ident: CR37 – ident: CR53 – volume: 21 start-page: 2308 year: 2015 end-page: 2335 ident: CR65 article-title: Geometric median and robust estimation in Banach spaces publication-title: Bernoulli doi: 10.3150/14-BEJ645 – volume: 17 start-page: 1 year: 2016 end-page: 40 ident: CR36 article-title: Loss minimization and parameter estimation with heavy tails publication-title: Journal of Machine Learning Research – volume: 43 start-page: 2507 year: 2015 end-page: 2536 ident: CR11 article-title: Empirical risk minimization for heavy-tailed losses publication-title: Annals of Statistics doi: 10.1214/15-AOS1350 – ident: CR33 – volume: 12 start-page: 1429 issue: 1 year: 2018 end-page: 1467 ident: CR54 article-title: High-dimensional robust precision matrix estimation: Cellwise corruption under -contamination publication-title: Electronic Journal of Statistics doi: 10.1214/18-EJS1427 – ident: CR82 – volume: 171 start-page: 459 issue: 1–2 year: 2018 end-page: 502 ident: CR63 article-title: Learning without concentration for general loss functions publication-title: Probability Theory and Related Fields doi: 10.1007/s00440-017-0784-y – volume: 207 start-page: 425 issue: 2 year: 2017 end-page: 517 ident: CR6 article-title: A new method for estimation and model selection: -estimation publication-title: Inventiones Mathematicae doi: 10.1007/s00222-016-0673-5 – ident: CR27 – ident: CR23 – volume: 1 start-page: 472 year: 1973 end-page: 477 ident: CR74 article-title: The asymptotic distribution of the trimmed mean publication-title: The Annals of Statistics doi: 10.1214/aos/1176342412 – ident: CR69 – volume: 59 start-page: 7711 year: 2013 end-page: 7717 ident: CR12 article-title: Bandits with heavy tail publication-title: IEEE Transactions on Information Theory doi: 10.1109/TIT.2013.2277869 – ident: CR44 – volume: 22 start-page: 1520 issue: 3 year: 2016 end-page: 1534 ident: CR50 article-title: Performance of empirical risk minimization in linear aggregation publication-title: Bernoulli doi: 10.3150/15-BEJ701 – ident: CR48 – year: 2009 ident: CR76 publication-title: Introduction to nonparametric estimation doi: 10.1007/b13794 – volume: 27 start-page: 1134 year: 1984 end-page: 1142 ident: CR79 article-title: A theory of the learnable publication-title: Communications of the ACM doi: 10.1145/1968.1972 – volume: 46 start-page: 3767 issue: 6B year: 2018 end-page: 3804 ident: CR5 article-title: Rho-estimators revisited: General theory and applications publication-title: The Annals of Statistics doi: 10.1214/17-AOS1675 – volume: 62 start-page: 21 year: 2015 ident: CR61 article-title: Learning without concentration publication-title: Journal of the ACM doi: 10.1145/2699439 – volume: 46 start-page: 2871 issue: 6A year: 2018 end-page: 2903 ident: CR66 article-title: Sub-Gaussian estimators of the mean of a random matrix with heavy-tailed entries publication-title: The Annals of Statistics doi: 10.1214/17-AOS1642 – volume: 72 start-page: 147 year: 2006 end-page: 158 ident: CR2 article-title: Geometric measures of data depth publication-title: DIMACS series in discrete mathematics and theoretical computer science doi: 10.1090/dimacs/072/10 – year: 1996 ident: CR81 publication-title: Weak convergence and empirical processes – ident: CR17 – ident: CR31 – ident: CR34 – ident: CR55 – year: 2002 ident: CR29 publication-title: A distribution-free theory of nonparametric regression doi: 10.1007/b97848 – year: 1991 ident: CR52 publication-title: Probability in Banach Space doi: 10.1007/978-3-642-20212-4 – ident: CR59 – ident: CR83 – ident: CR62 – volume: 58 start-page: 263 issue: 3 year: 1990 ident: CR73 article-title: A Survey of Multidimensional Medians publication-title: International Statistical Review / Revue Internationale de Statistique – ident: CR24 – ident: CR20 – volume: 47 start-page: 783 year: 2019 ident: 9427_CR56 publication-title: Annals of Statistics doi: 10.1214/17-AOS1639 – ident: 9427_CR67 – volume-title: Probability in Banach Space year: 1991 ident: 9427_CR52 doi: 10.1007/978-3-642-20212-4 – ident: 9427_CR37 doi: 10.1002/rsa.20839 – ident: 9427_CR48 – volume: 22 start-page: 1520 issue: 3 year: 2016 ident: 9427_CR50 publication-title: Bernoulli doi: 10.3150/15-BEJ701 – ident: 9427_CR83 – ident: 9427_CR77 – ident: 9427_CR35 – volume: 11 start-page: 440 year: 2017 ident: 9427_CR41 publication-title: Electronic Journal of Statistics doi: 10.1214/17-EJS1228 – ident: 9427_CR31 – volume: 17 start-page: 1 year: 2016 ident: 9427_CR36 publication-title: Journal of Machine Learning Research – ident: 9427_CR16 – ident: 9427_CR68 – ident: 9427_CR70 – volume: 39 start-page: 2766 year: 2011 ident: 9427_CR4 publication-title: The Annals of Statistics doi: 10.1214/11-AOS918 – volume: 36 start-page: 929 year: 1989 ident: 9427_CR9 publication-title: Journal of the ACM doi: 10.1145/76359.76371 – volume-title: A Probabilistic Theory of Pattern Recognition year: 1996 ident: 9427_CR21 doi: 10.1007/978-1-4612-0711-5 – volume: 33 start-page: 1497 year: 2005 ident: 9427_CR7 publication-title: Annals of Statistics doi: 10.1214/009053605000000282 – ident: 9427_CR26 – ident: 9427_CR23 doi: 10.1109/FOCS.2016.85 – volume: 46 start-page: 3767 issue: 6B year: 2018 ident: 9427_CR5 publication-title: The Annals of Statistics doi: 10.1214/17-AOS1675 – volume-title: Weak convergence and empirical processes year: 1996 ident: 9427_CR81 doi: 10.1007/978-1-4757-2545-2 – ident: 9427_CR17 doi: 10.1145/3055399.3055491 – ident: 9427_CR64 – ident: 9427_CR60 – volume: 58 start-page: 263 issue: 3 year: 1990 ident: 9427_CR73 publication-title: International Statistical Review / Revue Internationale de Statistique – ident: 9427_CR71 doi: 10.1093/oso/9780198534990.003.0002 – volume-title: Neural Network Learning: Theoretical Foundations year: 1999 ident: 9427_CR3 doi: 10.1017/CBO9780511624216 – volume: 58 start-page: 13 year: 1963 ident: 9427_CR32 publication-title: Journal of the American Statistical Association doi: 10.1080/01621459.1963.10500830 – ident: 9427_CR80 – volume: 35 start-page: 73 issue: 1 year: 1964 ident: 9427_CR38 publication-title: The annals of mathematical statistics doi: 10.1214/aoms/1177703732 – ident: 9427_CR57 doi: 10.1007/s00440-019-00906-4 – ident: 9427_CR53 – ident: 9427_CR15 – ident: 9427_CR44 doi: 10.1145/3188745.3188970 – ident: 9427_CR69 – ident: 9427_CR46 – ident: 9427_CR72 doi: 10.1134/S1064562414030338 – ident: 9427_CR27 – start-page: 99 volume-title: Statistics for High-Dimensional Data year: 2011 ident: 9427_CR13 doi: 10.1007/978-3-642-20192-9_6 – volume-title: A distribution-free theory of nonparametric regression year: 2002 ident: 9427_CR29 doi: 10.1007/b97848 – volume-title: Robust statistics: the approach based on influence functions year: 1986 ident: 9427_CR30 – ident: 9427_CR42 – ident: 9427_CR20 doi: 10.1145/2897518.2897647 – ident: 9427_CR75 doi: 10.1007/BFb0077482 – ident: 9427_CR58 doi: 10.3150/18-BEJ1046 – volume: 43 start-page: 2507 year: 2015 ident: 9427_CR11 publication-title: Annals of Statistics doi: 10.1214/15-AOS1350 – volume: 171 start-page: 459 issue: 1–2 year: 2018 ident: 9427_CR63 publication-title: Probability Theory and Related Fields doi: 10.1007/s00440-017-0784-y – ident: 9427_CR39 doi: 10.1002/9780470434697 – volume: 1 start-page: 472 year: 1973 ident: 9427_CR74 publication-title: The Annals of Statistics doi: 10.1214/aos/1176342412 – volume: 58 start-page: 137 year: 2002 ident: 9427_CR1 publication-title: Journal of Computer and System Sciences doi: 10.1006/jcss.1997.1545 – ident: 9427_CR18 – volume: 25 start-page: 331 year: 1963 ident: 9427_CR78 publication-title: Sankhyā: The Indian Journal of Statistics, Series A – volume: 36 start-page: 847 year: 1965 ident: 9427_CR8 publication-title: The Annals of Mathematical Statistics doi: 10.1214/aoms/1177700058 – ident: 9427_CR33 – volume-title: The concentration of measure phenomenon year: 2001 ident: 9427_CR51 – volume: 27 start-page: 1134 year: 1984 ident: 9427_CR79 publication-title: Communications of the ACM doi: 10.1145/1968.1972 – volume: 62 start-page: 21 year: 2015 ident: 9427_CR61 publication-title: Journal of the ACM doi: 10.1145/2699439 – ident: 9427_CR34 doi: 10.1145/3188745.3188748 – ident: 9427_CR45 – volume: 207 start-page: 425 issue: 2 year: 2017 ident: 9427_CR6 publication-title: Inventiones Mathematicae doi: 10.1007/s00222-016-0673-5 – ident: 9427_CR49 – volume: 12 start-page: 1429 issue: 1 year: 2018 ident: 9427_CR54 publication-title: Electronic Journal of Statistics doi: 10.1214/18-EJS1427 – ident: 9427_CR62 – volume: 48 start-page: 1148 issue: 4 year: 2012 ident: 9427_CR14 publication-title: Annales de l’Institut Henri Poincaré, Probabilités et Statistiques doi: 10.1214/11-AIHP454 – ident: 9427_CR47 doi: 10.1214/19-AOS1828 – volume: 20 start-page: 1560 issue: 3 year: 2014 ident: 9427_CR19 publication-title: Bernoulli doi: 10.3150/13-BEJ533 – volume: 21 start-page: 2308 year: 2015 ident: 9427_CR65 publication-title: Bernoulli doi: 10.3150/14-BEJ645 – volume-title: Concentration inequalities: A Nonasymptotic Theory of Independence year: 2013 ident: 9427_CR10 doi: 10.1093/acprof:oso/9780199535255.001.0001 – ident: 9427_CR24 – volume: 43 start-page: 186 year: 1986 ident: 9427_CR40 publication-title: Theoretical Computer Science doi: 10.1016/0304-3975(86)90174-X – ident: 9427_CR59 doi: 10.4171/JEMS/937 – ident: 9427_CR43 doi: 10.1007/978-3-642-22147-7 – ident: 9427_CR55 – volume: 59 start-page: 7711 year: 2013 ident: 9427_CR12 publication-title: IEEE Transactions on Information Theory doi: 10.1109/TIT.2013.2277869 – ident: 9427_CR25 doi: 10.1137/1.9781611975031.171 – ident: 9427_CR82 – volume: 72 start-page: 147 year: 2006 ident: 9427_CR2 publication-title: DIMACS series in discrete mathematics and theoretical computer science doi: 10.1090/dimacs/072/10 – volume: 79 start-page: 247 issue: 1 year: 2017 ident: 9427_CR28 publication-title: Journal of the Royal Statistical Society: Series B (Statistical Methodology) doi: 10.1111/rssb.12166 – ident: 9427_CR22 doi: 10.1214/16-AOS1440 – volume-title: Introduction to nonparametric estimation year: 2009 ident: 9427_CR76 doi: 10.1007/b13794 – volume: 46 start-page: 2871 issue: 6A year: 2018 ident: 9427_CR66 publication-title: The Annals of Statistics doi: 10.1214/17-AOS1642 |
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SubjectTerms | Applications of Mathematics Average Computer Science Economics Estimation theory Estimators Linear and Multilinear Algebras Math Applications in Computer Science Mathematical research Mathematics Mathematics and Statistics Matrix Theory Numerical Analysis Regression Regression analysis Statistical analysis |
Title | Mean Estimation and Regression Under Heavy-Tailed Distributions: A Survey |
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