1. IE browser is NOT supported anymore. Please use Chrome, Firefox or Edge instead.
2. If you are a new user, please register to get an IHEP SSO account through https://login.ihep.ac.cn/registlight.jsp Any questions, please email us at helpdesk@ihep.ac.cn or call 88236855.
3. If you need to create a conference in the "Conferences, Workshops and Events" zone, please email us at helpdesk@ihep.ac.cn.
4. The max file size allowed for upload is 100 Mb.
16–21 Aug 2019
Guilin Bravo Hotel, Guilin, China
Asia/Shanghai timezone

Combining Physics and Bayesian Statistics to Validate Models and Infer Their Parameters

17 Aug 2019, 16:45
25m
Ludi Room (Guilin Bravo Hotel, Guilin, China)

Ludi Room

Guilin Bravo Hotel, Guilin, China

14 South Ronghu Road, Xiangshan, Guilin 541002, Guangxi, China
Leading parallel Session 5: Analysis tools Session 5: Analysis tools

Speaker

Jordan Melendez (T)

Description

Physical models can suffer from systematic deficiencies due to omitted physics, which can bias parameter estimates and predictions. Such simplifications may be unavoidable, but physicists often have some idea of what is missing from their models. I discuss how physical knowledge of model discrepancy can be encoded into the language of Bayesian statistics, and how the inclusion of this uncertainty affects the parameter fitting protocol. Further benefits of this Bayesian formulation include the ability to (1) validate the model's performance and (2) make explicit all assumptions for reproducible research. Recent developments in probabilistic programming make it easier than ever before to provide a full accounting of uncertainty in the Bayesian paradigm. Applications are discussed.

Primary author

Presentation materials