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Markov Chain Monte Carlo: Stochastic Simulation for Bayesian Inference by Dani Gamerman, Hedibert F. Lopes

Markov Chain Monte Carlo: Stochastic Simulation for Bayesian Inference Dani Gamerman, Hedibert F. Lopes ebook
Format: pdf
ISBN: 9781584885870
Publisher: Taylor & Francis
Page: 344

Multilevel Modelling Newsletter, 16, 13-25. Adaptivetau, Tau-leaping stochastic simulation . With Simultaneous Confidence Bands. Dec 15, 2008 - An illustration of the use of reparameterisation methods for improving MCMC efficiency in crossed random effects models. Bayesian data analysis (2nd ed.). Adabag, Applies multiclass AdaBoost. May 7, 2013 - Bayesian inference; Behaviour; Economic analysis; Epistemology of simulation; Influenza; Pandemic modelling . AtelieR, A GTK GUI for teaching basic concepts in statistical inference, and doing elementary bayesian tests bayescount, Power calculations and Bayesian analysis of count distributions and FECRT data using MCMC. Chao DL, Halloran ME, Obenchain VJ, Longini IM Jr: FluTE, a publicly available stochastic influenza epidemic simulation model. Asymptotic Likelihood Ratio Methods. Statistical Science, 7, 457-511. Aug 17, 2013 - ada, ada: an R package for stochastic boosting. [4] evaluated the effectiveness of school closures for pandemic control in France and showed that prolonged school closures would potentially reduce the attack rate of a pandemic by 13–17% by using MCMC Bayesian .. Inference from iterative simulation using multiple sequences (with discussion).