The Oxford Handbook of Applied Bayesian Analysis (Oxford Handbooks)

The Oxford Handbook of Applied Bayesian Analysis
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    • Chapters written by leading exponents of applied Bayesian analysis showcase the scientific ease and natural application of Bayesian modelling, and present solutions to real, engaging, societally important and demanding problems.

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    Luis G. Ecological Models and Data in R. Benjamin M. Time Series Analysis: Methods and Applications. Tata Subba Rao. Marc Kery. Numerical Ecology. Methods of Multivariate Analysis. Alvin C. Understanding Biostatistics. Cause and Correlation in Biology. Bill Shipley. Spatial Statistics and Spatio-Temporal Data.

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    Applied Bayesian Statistics. Mary Kathryn Cowles. Generalized, Linear, and Mixed Models. Charles E. In All Likelihood. Yudi Pawitan. Statistics II Essentials. Emil Milewski. Principles of Applied Statistics.

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    Bayo Lawal. Sik-Yum Lee.

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