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Beta Processes and Survival Analysis
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 Title & Authors
Beta Processes and Survival Analysis
Kim, Yongdai; Chae, Minwoo;
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 Abstract
This article is concerned with one of the most important prior distributions for Bayesian analysis of survival and event history data, called Beta processes, proposed in Hjort (1990). We review the current state of the art of beta processes and their application to survival analysis. Relevant methodological and practical areas of research that we touch on relate to constructions, posterior distributions, large-sample properties, Bayesian computations, and mixtures of Beta processes.
 Keywords
Beta processes;event history analysis;hazard rates;survival analysis;
 Language
Korean
 Cited by
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