Scholarlink

We explore the applicability of the Bayesian Discrepancy Measure, a measure of evidence recently introduced in the literature, in the case of models involving hypotheses on discrete parameters. The approach is flexible, and can be adapted to take into account different distributions also when such non-regularity conditions are met. We investigate more in details the case of hypotheses on the population size parameter for capture-recapture models. We present simulation studies and a data application.

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

On the Evidence of a New Bayesian Discrepancy Measure for Discrete Scalar Parameters

  • 会议论文

  • 发表日期：

    2025年

查看全文
  • Silvia Columbu,
  • Francesco Bertolino,
  • Monica Musio

摘要

We explore the applicability of the Bayesian Discrepancy Measure, a measure of evidence recently introduced in the literature, in the case of models involving hypotheses on discrete parameters. The approach is flexible, and can be adapted to take into account different distributions also when such non-regularity conditions are met. We investigate more in details the case of hypotheses on the population size parameter for capture-recapture models. We present simulation studies and a data application.