Statistics and Data Science Seminar
Zhifan Zhang and Tu Xu
UIC
Latent Class Analysis and Regression Analysis in Health Care Market Research / Mulitcategory Probability Estimation via Quantile Kernel Regression
Abstract: (By Zhifan Zhang) Latent Class Analysis (LCA) is used to find groups or subtypes of cases in
multivariate categorical data. In Health care Market Research, Latent
Class Analysis is used in consumer segmentation to identify discriminating
variables that would enable the development of differentiated segments of
customers to inform post-Reform Strategies. In this talk, we will discuss
the usage of Latent Class Analysis and Regression analysis in Health care
Market Research.
(By Tu Xu) Multiclass probability estimation is an very important problem
in statistics and data mining. The traditional probability estimation
problem is commonly dealt by regression techniques such as multiple
logistic regression, or the density estimation approaches such as linear
discriminant analysis(LDA) and quadratic discriminant analysis. In this
talk,we propose a new model-free method for estimating multiclass
probabilities based quantile kernel regrssion will be introduced. It does
not impose any strong parametric assumption on the underlying distribution
and can be applied for a wide range of large-margin classification
methods. Our simulations show great performance of our method compared
with existing methods.
Wednesday September 21, 2011 at 4:00 PM in SEO 636