Empirical Likelihood Inference in Partial Linear Models for Longitudinal Data
Description
In analyzing longitudinal data, within-subject correlations are a major factor affecting statistical efficiency. Working with a partially linear model for longitudinal data, this talk will consider a subject-wise empirical likelihood-based method that takes the within-subject correlations into consideration to estimate the model parameters efficiently. The numerical results will demonstrate the usefulness of the proposed method.
Date of Event
October 22, 2014 12 - 1:00 PM
Location
Mailman-Hollywood Building Auditorium, 3301 College Ave., Fort Lauderdale (main campus)
NSU News Release Link
http://nsunews.nova.edu/mathematics-colloquium-series-to-explore-statistical-efficiency-of-considering-within-subject-correlations-oct-22/
Empirical Likelihood Inference in Partial Linear Models for Longitudinal Data
Mailman-Hollywood Building Auditorium, 3301 College Ave., Fort Lauderdale (main campus)
In analyzing longitudinal data, within-subject correlations are a major factor affecting statistical efficiency. Working with a partially linear model for longitudinal data, this talk will consider a subject-wise empirical likelihood-based method that takes the within-subject correlations into consideration to estimate the model parameters efficiently. The numerical results will demonstrate the usefulness of the proposed method.
https://nsuworks.nova.edu/mathematics_colloquium/ay_2014-2015/events/10
Presenter Bio
Lianfen Qian has a Ph.D. and teaches at Florida Atlantic University