• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Journal of statistical computation and simulation >A frequentist assessment of Bayesian inclusion probabilities for screening predictors
【24h】

A frequentist assessment of Bayesian inclusion probabilities for screening predictors

机译：贝叶斯包含概率的频繁评估，用于筛选预测因子

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Bayesian inclusion probabilities have become a popular tool for variable assessment. From a frequentist perspective, it is often difficult to evaluate these probabilities as typically no Type I error rates are considered, neither are any explorations of power of the methods given. This paper considers how a frequentist may evaluate Bayesian inclusion probabilities for screening predictors. This evaluation looks at both unrestricted and restricted model spaces and develops a framework which a frequentist can utilize inclusion probabilities that preserve Type I error rates. Furthermore, this framework is applied to an analysis of the Arabidopsis thaliana with respect to determining quantitative trait loci associated with cotelydon opening angle.
机译：贝叶斯包含概率已成为变量评估的流行工具。从常客的角度来看，通常很难评估这些概率，因为通常不考虑I型错误率，也没有对方法的功效进行任何探索。本文考虑了一个常客如何评估贝叶斯包含概率来筛选预测因子。该评估同时考虑了不受限制的模型空间和受限制的模型空间，并开发了一个框架，使常客可以利用保留I型错误率的包含概率。此外，该框架被应用于拟南芥的分析，以确定与硬叶鞘开放角相关的数量性状基因座。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号