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Updated: May 30, 2025

A Novel Bayesian Change-point Algorithm for Genome-wide Analysis of Diverse ChIPseq Data Types
12:39

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

Published on: December 10, 2012

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贝叶斯对指数随机图模型的分析使用静态梯度马尔科夫链蒙特卡洛.

Qian Zhang1, Faming Liang1

  • 1Department of Statistics, Purdue University, West Lafayette, IN 47907, USA.

Bayesian analysis
|January 27, 2025
PubMed
概括

随机梯度兰杰文动力学 (SGLD) 提供了一个可扩展的解决方案,用于分析由指数随机图模型 (ERGM) 建模的大型社交网络. 这种方法有效地从复杂的后面分布中取样,克服统计研究中的计算挑战.

关键词:
初级 62F1515 的情况.瓦斯斯坦的距离是瓦斯斯坦的距离内部马尔科夫链是什么坚持不的正常化常数.逻辑-形密度密度 参数二级 62A09第二级 62A09第二级社交网络 社交网络

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Structure-Based Simulation and Sampling of Transcription Factor Protein Movements along DNA from Atomic-Scale Stepping to Coarse-Grained Diffusion09:17

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