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Variance components and residual likelihood
The marginal likelihood based on residuals in a linear model is called the residual likelihood, sometimes abbreviated to REML. I will discuss the use of REML in a number of applications from animal behaviour, growth curves, agricultural field studies and environmental monitoring. All of these applications involve designs having several variance components, each associated with an independent source of variation such as temporal, spatial or other factors.
Date:
29 October 2015, 14:15
Venue:
1 South Parks Road, 1 South Parks Road OX1 3TG
Venue Details:
Lecture Theatre, Department of Statistics
Speaker:
Prof Peter McCullagh (Department of Statistics, University of Chicago)
Organising department:
Department of Statistics
Organiser:
Professor Yee Whye Teh (Department of Statistics, University of Oxford)
Part of:
Statistics, Applied Probability & Operational Research Seminars
Booking required?:
Not required
Audience:
Members of the University only
Editor:
Beverley Lane
