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Updated: Jun 29, 2025

A Novel Bayesian Change-point Algorithm for Genome-wide Analysis of Diverse ChIPseq Data Types
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A Novel Bayesian Change-point Algorithm for Genome-wide Analysis of Diverse ChIPseq Data Types

Published on: December 10, 2012

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在"大n,大p"贝叶斯稀疏回归中加速吉布斯采样的先前预先条件的结合梯度方法.

Akihiko Nishimura1, Marc A Suchard2

  • 1Department of Biostatistics, Johns Hopkins University, Baltimore, MD.

Journal of the American Statistical Association
|March 29, 2024
PubMed
概括

这项研究引入了一种用于大规模贝叶斯回归的新型算法,在复杂的医疗数据分析中显著加快后置推理. 新方法将计算时间从几周缩短到几天,使得临床共变量更有效地分析.

关键词:
大数据就是大数据.结合的梯度梯度的结合.马尔科夫连锁蒙特卡罗的蒙特卡罗是一个数字线性代数的数值线性代数.这是一个稀疏矩阵.变量选择 变量选择

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