A Student’s Guide to Bayesian Statistics

A STUDENT’S GUIDE TO BAYESIAN STATISTICS- FRONT COVER\nA STUDENT’S GUIDE TO BAYESIAN STATISTICS\nCOPYRIGHT\nCONTENTS\nONLINE RESOURCES\nACKNOWLEDGEMENTS\nABOUT THE AUTHOR\nCHAPTER 1- HOW BEST TO USE THIS BOOK\nPART I- AN INTRODUCTION TO BAYESIAN INFERENCE\nCHAPTER 2- THE SUBJECTIVE WORLDS OF FREQUENTIST AND BAYESIAN STATISTICS\nCHAPTER 3- PROBABILITY – THE NUTS AND BOLTS OF BAYESIAN INFERENCE\nPART II- UNDERSTANDING THE BAYESIAN FORMULA\nCHAPTER 4- LIKELIHOODS\nCHAPTER 5- PRIORS\nCHAPTER 6- THE DEVIL IS IN THE DENOMINATOR\nCHAPTER 7- THE POSTERIOR – THE GOAL OF BAYESIAN INFERENCE\nPART III- ANALYTIC BAYESIAN METHODS\nCHAPTER 8- AN INTRODUCTION TO DISTRIBUTIONS FOR THE MATHEMATICALLY UNINCLINED\nCHAPTER 9- CONJUGATE PRIORS\nCHAPTER 10- EVALUATION OF MODEL FIT AND HYPOTHESIS TESTING\nCHAPTER 11- MAKING BAYESIAN ANALYSIS OBJECTIVE?\nPART IV- A PRACTICAL GUIDE TO DOING REAL-LIFE BAYESIAN ANALYSIS: COMPUTATIONAL BAYES\nCHAPTER 12- LEAVING CONJUGATES BEHIND: MARKOV CHAIN MONTE CARLO\nCHAPTER 13- RANDOM WALK METROPOLIS\nCHAPTER 14- GIBBS SAMPLING\nCHAPTER 15- HAMILTONIAN MONTE CARLO\nCHAPTER 16- STAN\nPART V- HIERARCHICAL MODELS AND REGRESSION\nCHAPTER 17- HIERARCHICAL MODELS\nCHAPTER 18- LINEAR REGRESSION MODELS\nCHAPTER 19- GENERALISED LINEAR MODELS AND OTHER ANIMALS\nBIBLIOGRAPHY\nINDEX