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Most popular at the top

  • Applied Bayesian Modellingby Peter Congdon

    Wiley 2003; US$ 146.00

    The use of Bayesian statistics has grown significantly in recent years, and will undoubtedly continue to do so. Applied Bayesian Modelling is the follow-up to the author’s best selling book, Bayesian Statistical Modelling, and focuses on the potential applications of Bayesian techniques in a wide range of important topics in the social and... more...

  • Bayesian Models for Categorical Databy Peter Congdon

    Wiley 2005; US$ 133.00

    Peter Congdon, Queen Mary, University of London, UK Peter is the author of two best-selling Wiley books on Bayesian modelling – Bayesian Statistical Modelling , and Applied Bayesian Modelling . more...

  • Bayesian Statistical Modellingby Peter Congdon

    Wiley 2007; US$ 118.00

    Bayesian methods combine the evidence from the data at hand with previous quantitative knowledge to analyse practical problems in a wide range of areas. The calculations were previously complex, but it is now possible to routinely apply Bayesian methods due to advances in computing technology and the use of new sampling methods for estimating parameters.... more...

  • Applied Bayesian Modellingby Peter Congdon

    Wiley 2014; US$ 90.95

    This book provides an accessible approach to Bayesian computing and data analysis, with an emphasis on the interpretation of real data sets. Following in the tradition of the successful first edition, this book aims to make a wide range of statistical modeling applications accessible using tested code that can be readily adapted to the reader's own... more...

  • Applied Bayesian Hierarchical Methodsby Peter D. Congdon

    CRC Press 2010; US$ 109.95

    Bayesian Methods for Complex Data: Estimation and Inference Introduction Posterior Inference from Bayes Formula Markov Chain Sampling in Relation to Monte Carlo Methods: Obtaining Posterior Inferences Hierarchical Bayes Applications Metropolis Sampling Choice of Proposal Density Obtaining Full Conditional Densities Metropolis?Hastings Sampling... more...

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