Infinite-dimensional Diffusions Between Bayesian Inference and Mathematical Biology

Matteo Ruggiero
Friday, October 5, 2012 - 3:30pm
matteo.ruggiero@unito.it
Old Chemistry 116
Abstract: 
We consider some recently introduced infinite-dimensional diffusion processes related to certain nonparametric prior distributions with a twofold purpose: Bayesian nonparametric inference for discretely observed continuous-time phenomena and dynamic modeling of the species abundances in a large population. We show how some of these diffusions can be constructed and interpreted in a biological framework, and how they can be used for drawing inferences on a time-indexed density surface.


Series: 
Statistical Science Seminar Series

Description: 

Seminars generally take place in 116 Old Chem Building on Fridays from 3:30 - 4:30 pm. However, please check individual abstracts to confirm time and location. Refreshments will be served after the seminars in Old Chemistry 211. Metered Parking is available at various locations on campus. If you have never visited us before, please see our driving directions and map. The easiest and most convenient parking areas are located at the Bryan Center parking garage near Duke Statistics (recommended) or at the Sarah P. Duke Gardens. Please email or call Karen Herndon for additional information: karen@stat.duke.edu or phone 919-684-8029. Sorry, but we do not have reprints available. Please feel free to contact the authors by email for follow-up information, articles, etc.

Reception following seminar in 211 Old Chemistry