Scholarlink

To fully appreciate Bayesian inference, it is important to understand that the type of statistical reasoning here is somewhat different from that in frequentist statistics. In particular, model parameters are usually treated as random rather than fixed quantities.

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

Bayesian Inference

  • 章节

  • 发表日期：

    2025年

查看全文
  • Joshua C. C. Chan,
  • Dirk P. Kroese

摘要

To fully appreciate Bayesian inference, it is important to understand that the type of statistical reasoning here is somewhat different from that in frequentist statistics. In particular, model parameters are usually treated as random rather than fixed quantities.