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This version of NSU News has been archived as of February 28, 2019. To search through archived articles, visit nova.edu/search. To access the new version of NSU News, visit news.nova.edu.
This version of SharkBytes has been archived as of February 28, 2019. To search through archived articles, visit nova.edu/search. To access the new version of SharkBytes, visit sharkbytes.nova.edu.
Mathematics Colloquium Series to Explore Statistical Efficiency of Considering Within-Subject Correlations, Oct. 22
Join the Farquhar College of Arts and Sciences for the latest discussion in the Mathematics Colloquium Series.
“Empirical Likelihood Inference in Partial Linear Models for Longitudinal Data”
Speaker: Lianfen Qian, Ph.D. (Florida Atlantic University)
Wednesday, Oct. 22
Noon–1:00 p.m.
Mailman-Hollywood Building Auditorium
About the Talk
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.
About the Series
Hosted by the college’s Division of Math, Science, and Technology, the Mathematics Colloquium Series aims to increase awareness of mathematics’ importance and applications in daily life. The series also gives mathematics faculty members and students the opportunity to discuss independent research and share their passion for the subject.
For more information, contact Vehbi Paksoy, Ph.D., associate professor at the college, at (954) 262-7995 or Iuliana Stanculescu, Ph.D., associate professor at the college at (954) 262-7994.