首页> 外文期刊>Statistics and computing >Implied distributions in multiple change point problems
【24h】

Implied distributions in multiple change point problems

机译:多个变更点问题中的隐含分布

获取原文
获取原文并翻译 | 示例
           

摘要

A method for efficiently calculating exact marginal, conditional and joint distributions for change points defined by general finite state Hidden Markov Models is proposed. The distributions are not subject to any approximation or sampling error once parameters of the model have been estimated. It is shown that, in contrast to sampling methods, very little computation is needed. The method provides probabilities associated with change points within an interval, as well as at specific points.
机译:提出了一种有效计算通用有限状态隐马尔可夫模型定义的变化点的精确边际,条件和联合分布的方法。一旦估计了模型的参数,分布就不会受到任何近似或抽样误差的影响。结果表明,与采样方法相比,几乎不需要计算。该方法提供与间隔内以及特定点处的变化点相关联的概率。

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