{"title":"Nonparametric inference for reversed mean models with panel count data","authors":"Li Liu, Wen Su, G. Yin, Xingqiu Zhao, Ying Zhang","doi":"10.3150/21-bej1444","DOIUrl":null,"url":null,"abstract":"LI LIU1 WEN SU2 GUOSHENG YIN2 YING ZHANG3 and XINGQIU ZHAO4 1School of Mathematics and Statistics, Wuhan University, Wuhan, Hubei, 430072, China E-mail: lliu.math@whu.edu.cn 2Department of Statistics and Actuarial Science, The University of Hong Kong, Hong Kong E-mail: jenna.wen.su@connect.hku.hk E-mail: gyin@hku.hk; Corresponding author 3Department of Biostatistics, University of Nebraska Medical Center, Omaha, NE, USA E-mail: ying.zhang@unmc.edu 4Department of Applied Mathematics, The Hong Kong Polytechnic University, Hong Kong E-mail: xingqiu.zhao@polyu.edu.hk","PeriodicalId":55387,"journal":{"name":"Bernoulli","volume":" ","pages":""},"PeriodicalIF":1.5000,"publicationDate":"2022-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Bernoulli","FirstCategoryId":"100","ListUrlMain":"https://doi.org/10.3150/21-bej1444","RegionNum":2,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"STATISTICS & PROBABILITY","Score":null,"Total":0}
引用次数: 3
Abstract
LI LIU1 WEN SU2 GUOSHENG YIN2 YING ZHANG3 and XINGQIU ZHAO4 1School of Mathematics and Statistics, Wuhan University, Wuhan, Hubei, 430072, China E-mail: lliu.math@whu.edu.cn 2Department of Statistics and Actuarial Science, The University of Hong Kong, Hong Kong E-mail: jenna.wen.su@connect.hku.hk E-mail: gyin@hku.hk; Corresponding author 3Department of Biostatistics, University of Nebraska Medical Center, Omaha, NE, USA E-mail: ying.zhang@unmc.edu 4Department of Applied Mathematics, The Hong Kong Polytechnic University, Hong Kong E-mail: xingqiu.zhao@polyu.edu.hk
期刊介绍：
BERNOULLI is the journal of the Bernoulli Society for Mathematical Statistics and Probability, issued four times per year. The journal provides a comprehensive account of important developments in the fields of statistics and probability, offering an international forum for both theoretical and applied work.
BERNOULLI will publish:
Papers containing original and significant research contributions: with background, mathematical derivation and discussion of the results in suitable detail and, where appropriate, with discussion of interesting applications in relation to the methodology proposed.
Papers of the following two types will also be considered for publication, provided they are judged to enhance the dissemination of research:
Review papers which provide an integrated critical survey of some area of probability and statistics and discuss important recent developments.
Scholarly written papers on some historical significant aspect of statistics and probability.
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