Department of Statistics, The Ohio State University
Statistics and Biostatistics Colloquium Series

A challenge in statistics is to construct models that are structured enough to be able to learn from data but not be so strong as to overwhelm the data. We introduce the concept of "weakly informative priors" which contain important information but less than may be available for the given problem at hand. We also discuss some related problems in developing general models for taxonomies and deep interactions. We consider how these ideas apply to problems in social science and public health.

Meet the speaker in Room 212 Cockins Hall at 4:30 p.m. Refreshments will be served.