|
Activity Number:
|
636
- Graphical Models: From Foundations to Applications
|
|
Type:
|
Invited
|
|
Date/Time:
|
Thursday, August 1, 2019 : 10:30 AM to 12:20 PM
|
|
Sponsor:
|
IMS
|
|
Abstract #308023
|
|
|
Title:
|
Minimax Prediction in Tree Ising Models
|
|
Author(s):
|
Guy Bresler*
|
|
Companies:
|
Massachusetts Institute of Technology (MIT)
|
|
Keywords:
|
|
|
Abstract:
|
Graphical models are often used to facilitate efficient computation of posteriors in order to make predictions. With this objective in mind, we consider the problem of estimating the parameters of a graphical model with known structure from samples such that posteriors computed using the model are accurate. Focusing on tree-structured binary Markov random fields, we prove a sharp characterization of accuracy of size k marginals (and hence posteriors conditioned on k-1 variables) in terms of number of samples. Joint work with Mina Karzand.
|
Authors who are presenting talks have a * after their name.
Back to the full JSM 2019 program
|
