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Issues in Likelihood and REML: Nelder Memorial Lecture by Prof. Peter McCullagh at the University of Chicago

Join Professor Peter McCullagh FRS from the University of Chicago for the Nelder Memorial Lecture on March 8, 2012, as he discusses residual likelihood and residual maximum likelihood estimation in the context of variance-components estimation. Explore the use of REML for likelihood ratio statistics and its application in testing treatment effects and transformation appropriateness. Don't miss the reception following the lecture at the Huxley Common Room.

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Issues in Likelihood and REML: Nelder Memorial Lecture by Prof. Peter McCullagh at the University of Chicago

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  1. Mathematics Colloquium“Nelder Memorial Lecture” Professor Peter McCullaghFRS (University of Chicago)on: “Some issues connected with likelihood and REML” Thursday, March 8th 2012, 5-6pm LT 308 Computing Department, Huxley Building Abstract: Residual likelihood and residual maximum likelihood estimationhave been found to be very useful for variance-components estimation in linear models, particularly for models having more than one variance component.The talk is concerned with marginal likelihood in general and with REML for the computation of likelihood-ratio statistics.Can REML be used for testing the significance of a treatment effect?Can REML be combined with the Box-Cox technique for testingthe appropriateness of various transformations? Reception afterwards in the Huxley Common Room , Level 5, Huxley Building.

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