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Get Applied Bayesian Modelling (2nd Edition) (Wiley Series in PDF

By Peter D. Congdon

ISBN-10: 1118895053

ISBN-13: 9781118895054

This publication offers an available method of Bayesian computing and information research, with an emphasis at the interpretation of actual facts units. Following within the culture of the profitable first version, this e-book goals to make quite a lot of statistical modeling functions obtainable utilizing validated code that may be without problems tailored to the reader's personal functions.

The second edition has been completely remodeled and up to date to take account of advances within the box. a brand new set of labored examples is incorporated. the unconventional point of the 1st variation was once the assurance of statistical modeling utilizing WinBUGS and OPENBUGS. this option keeps within the re-creation besides examples utilizing R to develop charm and for completeness of assurance.

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Additional resources for Applied Bayesian Modelling (2nd Edition) (Wiley Series in Probability and Statistics)

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1994) Posterior predictive p-values. Annals of Statistics, 22(3), 1142–1160. Mollié, A. (1996) Bayesian mapping of disease. In W. Gilks, S. Richardson and D. Spieglehalter (eds), Markov Chain Monte Carlo in Practice, pp 359–380. Chapman and Hall, London, UK. Neal, R. (2003) Slice sampling. Annals of Statistics, 31, 705–741. Parent E. and Rivot E. (2012) Introduction to Hierarchical Bayesian Modeling for Ecological Data. CRC, Boca Raton, FL. Pettit, L. and Smith, A. (1985) Outliers and influential observations in linear models.

2005) Markov chain Monte Carlo methods and the label switching problem in Bayesian mixture modeling. Statistical Science, 20, 50–67. Kelsall, J. and Wakefield, J. G. ). In J. Bernardo et al. (eds), Bayesian Statistics 6: Proceedings of the Sixth Valencia International Meeting. Clarendon Press, Oxford, UK. , Gimenez, O. and Brooks, S. (2010) Bayesian analysis for population ecology. CRC Press. Knorr-Held, L. and Rainer, E. (2001) Prognosis of lung cancer mortality in West Germany: a case study in Bayesian prediction.

2010) Flexible Bayes regression of epidemiologic data. In A. O’Hagan and M. West (eds), The Oxford Handbook of Applied Bayesian Analysis. Oxford University Press, Oxford, UK. Fan, Y. and Sisson, S. (2011) Reversible jump Markov chain Monte Carlo. In S. Brooks, A. Gelman, G. -L. Meng (eds), Handbook of Markov Chain Monte Carlo. CRC, Boca Raton, FL. , Kadane, J. and O’Hagan, A. (2005) Statistical methods for eliciting probability distributions. Journal of the American Statistical Association, 100(470), 680–701.

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Applied Bayesian Modelling (2nd Edition) (Wiley Series in Probability and Statistics) by Peter D. Congdon


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