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On identifiability of parametric statistical models
Authors:Carlos Daniel Mimoso Paulino  Carlos Alberto de Bragança Pereira
Institution:1. Depto. de Matemática, IST, Universidade Técnica de Lisboa, Av. Rovisco Pais, 1096, Lisboa Codex, Portugal
2. Depto. de Estatística, Universidade de S?o Paulo, S?o Paulo, Brasil
Abstract:Summary This is a review article on statistical identifiability. Besides the definition of the main concepts, we deal with several questions relevant to the statistician: parallelism between parametric identifiability and sample sufficiency; relationship of identifiability with measures of sample information and with the inferential concept of estimability; several strategies of making inferences in unidentifiable models with emphasis on the distinct behaviour of the classical and Bayesian approaches. The concepts, ideas and methods discussed are illustrated with simple examples of statistical models. Centro de Análise e Processamento de Sinais da UTL
Keywords:Bayesian inference  categorical data  estimability  linear model  sample information  sample sufficiency
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