图 书 馆
使用矩闭方法的参数估计Parameter estimation using moment-closure methods |
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| 课程网址: | http://videolectures.net/licsb08_gillespie_peu/ |
| 主讲教师: | Colin Gillespie |
| 开课单位: | 纽卡斯尔大学 |
| 开课时间: | 2008-04-17 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | This poster will give tackle one of the key problems in the new science of systems biology: inference for the rate parameters underlying complex stochastic kinetic biochemical network models, using partial, discrete, and noisy time-course measurements of the system state. Although inference for exact stochastic models is possible, it is computionally intensive for relatively small networks. We explore Bayesian estimation of stochastic kinetic rate parameters using approximate models, based on moment closure analysis of the underlying stochastic process. By assuming a Gaussian distribution and using moment-closure estimates of the first two-moments, we can greatly increase the speed of parameter inference. The parameter space can be efficiently explored by embedding this approximation into an MCMC procedure. |
| 关 键 词: | 复杂随机动力学; 速率参数网络模型; 计算密集型; 参数空间 |
| 课程来源: | 视频讲座网 |
| 最后编审: | 2020-06-29：cxin |
| 阅读次数: | 31 |