图 书 馆
非参数贝叶斯随机规划的视角A stochastic programming perspective on nonparametric Bayes |
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| 课程网址: | http://videolectures.net/icml08_roy_spp/ |
| 主讲教师: | Daniel Roy |
| 开课单位: | 麻省理工学院 |
| 开课时间: | 2008-08-04 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | We use Church, a Turing-universal language for stochastic generative processes and the probability distributions they induce, to study and extend several objects in nonparametric Bayesian statistics. We connect exchangeability and de Finetti measures with notions of purity and closures from functional programming. We exploit delayed evaluation to provide finite, machine-executable representations for various nonparametric Bayesian objects. We relate common uses of the Dirichlet process to a stochastic generalization of memoization, and use this abstraction to compactly describe and extend several nonparametric models. Finally, we briefly discuss issues of computability and inference. |
| 关 键 词: | 非参数; 贝叶斯随机规划; 视角 |
| 课程来源: | 视频讲座网 |
| 最后编审: | 2019-10-29：cwx |
| 阅读次数: | 46 |