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SEMINAR: The University of Reading, School of Applied Statistics, room AS-G03 Thursday, February 12, 4pm John McDonald (University of Southampton) http://www.socstats.soton.ac.uk/staff/mcdonald/ Markov Chain Monte Carlo exact inference for binomial and multinomial logistic regression models Abstract This talk discusses Metropolis-Hastings algorithms for exact conditional inference, including goodness-of-fit tests, confidence intervals and residual analysis, for binomial and multinomial logistic regression models. It presents examples where the exact results, obtained by enumeration, are available for comparison. Examples are also given where Monte Carlo methods provide the only feasible approach for exact inference. All welcome. Travel information: http://www.rdg.ac.uk/Statistics/info/direc.html Other seminars: http://www.rdg.ac.uk/Statistics/diary/seminars.html Posted by: Howard Grubb ([log in to unmask])