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A review on recent advances and applications of h-likelihood method

Title
A review on recent advances and applications of h-likelihood method
Authors
Lee W.Do Ha I.Noh M.Lee D.Lee Y.
Ewha Authors
이동환
SCOPUS Author ID
이동환scopus
Issue Date
2021
Journal Title
Journal of the Korean Statistical Society
ISSN
1226-3192JCR Link
Citation
Journal of the Korean Statistical Society vol. 50, no. 3, pp. 681 - 702
Keywords
Adjusted profile h-likelihoodH-likelihoodHierarchical generalized linear modelUnobservable
Publisher
Springer
Indexed
SCIE; SCOPUS; KCI scopus
Document Type
Review
Abstract
Having spent almost 30 years since Lee and Nelder introduced the h-likelihood at the discussion meeting held in Royal Statistical Society in 1994, Lee and his colleagues and students have studied how to define the h-likelihood for complex statistical models and conduct inference about unobservables and fixed unknown parameters in them. In this paper we review several important research areas with a focus on how the h-likelihood method has been applied. This review covers areas including analysis of clustered survival data, competing risk models with frailty, joint models for longitudinal and survival outcomes, sparse high-dimensional multivariate analysis, spatial analysis and multiple testing. © 2021, Korean Statistical Society.
DOI
10.1007/s42952-021-00130-8
Appears in Collections:
자연과학대학 > 통계학전공 > Journal papers
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