[Ml-stat-talks] Fwd: [ORFE-Seminars] Wilks Statistics Seminar: Abbas Khalili, Tomorrow, Nov. 23, 2016 12:30 PM, Sherrerd Hall 101

Barbara Engelhardt bee at princeton.edu
Tue Nov 22 11:06:16 EST 2016


Talk of interest.

bee

---------- Forwarded message ----------
From: Carol Smith <carols at princeton.edu>
Date: Tue, Nov 22, 2016 at 11:04 AM
Subject: [ORFE-Seminars] Wilks Statistics Seminar: Abbas Khalili, Tomorrow,
Nov. 23, 2016 12:30 PM, Sherrerd Hall 101
To: ORFE-TALKS at princeton.edu


***   Wilks Statistics Seminar   ***

DATE:  Wednesday, November 23, 2016

TIME:   12:30 pm

LOCATION:   Sherrerd Hall 101

SPEAKER:  Abbas Khalili, McGill University

TITLE:   New Estimation and Feature Selection Methods in Mixture-of-experts
Models with Diverging Number of Parameters

ABSTRACT:   Recent advancements in medical and other fields of scientific
research have allowed scientists to collect data of unprecedented size and
complexity. A common statistical problem in these applications is to model
a response variable of interest as a function of a small subset of a large
number of covariates (features). The problem becomes even more complex when
a population under study is made up of hidden sub-populations and the
relationship between the response variable and covariates varies across
sub-populations. Mixture-of-experts (MOE) models provide a flexible
statistical tool for studying such relationships. In this talk we discuss
some new developments on estimation and feature selection methods in MOE
models with diverging number of parameters.




-- 
Barbara E Engelhardt
Assistant Professor
Department of Computer Science
Center for Statistics and Machine Learning
Princeton University
http://www.cs.princeton.edu/~bee
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