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X-WR-CALNAME:Institute of Statistical Research and Training
X-ORIGINAL-URL:https://www.isrt.ac.bd
X-WR-CALDESC:Events for Institute of Statistical Research and Training
BEGIN:VEVENT
DTSTART;TZID=UTC+6:20220808T140000
DTEND;TZID=UTC+6:20220808T150000
DTSTAMP:20220813T001943
CREATED:20220728T112726Z
LAST-MODIFIED:20220728T112726Z
UID:5303-1659967200-1659970800@www.isrt.ac.bd
SUMMARY:Seminar on "Constrained inference in mixed models for clustered data"
DESCRIPTION:Title: Constrained inference in mixed models for clustered data\n\n\nAbstract:\nMixed models are commonly used for analyzing clustered data\, including\nlongitudinal data and repeated measurements. Unrestricted full maximum\nlikelihood (ML) methods have been extensively studied in the literature\nfor analyzing generalized\, linear\, and mixed models. However\, constraints\nor parameter orderings may occur in practice\, and in such cases\, we can\nimprove the efficiency of a statistical method by incorporating parameter\nconstraints into the ML estimation and hypothesis testing. In this talk\, I\nwill discuss constrained inference with generalized linear mixed models\n(GLMMs) under linear inequality constraints. Methods will be assessed\nusing both Monte Carlo simulations and actual survey data from a health\nstudy. \n\n\nPresenter:\n\nSanjoy Sinha\n\n\n\nProfessor\nSchool of Mathematics and Statistics\nCarleton University\, Ottawa\, ON\, Canada\n\n\n\n\n\n
URL:https://www.isrt.ac.bd/event/seminar-on-constrained-inference-in-mixed-models-for-clustered-data/
LOCATION:ISRT Seminar Room (3rd floor)\, Institute of Statistical Research and Training\, University of Dhaka\, Dhaka\, Please Select\, 1000\, Bangladesh
CATEGORIES:seminar
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