Asymptotic Properties of Bayesian-Type Estimates in the Competing Risk Model under Random Censoring

We prove the asymptotic normality of Bayesian-type estimates in the competing risk model with two-sided random censoring. Keywords and phrases: local asymptotic normality, likelihood ratio statistic, asymptotic efficiency, competing risk model, random censoring. AMS Subject Classification: 62B15

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Bibliographic Details
Published inJournal of mathematical sciences (New York, N.Y.) Vol. 245; no. 3; pp. 341 - 349
Main Authors Abdushukurov, A. A., Nurmukhamedova, N. S.
Format Journal Article
LanguageEnglish
Published New York Springer US 01.03.2020
Springer
Springer Nature B.V
Subjects
Asymptotic properties
Bayesian analysis
Censorship
Decision-making
Mathematics
Mathematics and Statistics
Normality
Risk assessment
random censoring
likelihood ratio statistic
local asymptotic normality
62B15
asymptotic efficiency
competing risk model
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Summary:We prove the asymptotic normality of Bayesian-type estimates in the competing risk model with two-sided random censoring. Keywords and phrases: local asymptotic normality, likelihood ratio statistic, asymptotic efficiency, competing risk model, random censoring. AMS Subject Classification: 62B15
Bibliography:ObjectType-Article-1
SourceType-Scholarly Journals-1
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content type line 14
ISSN:1072-3374
1573-8795
DOI:10.1007/s10958-020-04695-3