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对热力学积分的分层路径采样：计算非线性动力系统模型的贝叶斯因子On stratified path sampling of the Thermodynamic Integral: computing Bayes factors for nonlinear dynamical systems models |
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| 课程网址: | http://videolectures.net/aispds08_girolami_osps/ |
| 主讲教师: | Mark Girolami |
| 开课单位: | 格拉斯哥大学 |
| 开课时间: | 2008-08-05 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | Bayes factors provide a means of objectively ranking a number of plausible statistical models based on their evidential support. Computing Bayes factors is far from straightforward and methodology based on thermodynamic integration can provide stable estimates of the integrated likelihood. This talk will consider a stratified sampling strategy in estimating the thermodynamic integral and will consider issues such as optimal paths and the variance of the overall estimator. The main application considered will be the computation of Bayes factors for dynamical biochemical pathway models based on systems of nonlinear ordinary differential equations (ODE). A large scale study of the ExtraCellular Regulated Kinase (ERK) pathway will be discussed where recent Small Interfering RNA (siRNA) experimental validation of the predictions made using the computed Bayes factors is presented. |
| 关 键 词: | 非线性动力系统; 贝叶斯因子; 热力学积分; 非线性微分方程 |
| 课程来源: | 视频讲座网 |
| 最后编审: | 2019-12-21：lxf |
| 阅读次数: | 57 |