Le raisonnement bayésien : Modélisation et inférence = Bayesian reasoning: Modeling and inference
Publication year: 2007
ISBN: 978-2-287-33907-3
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This book describes in detail the practice of the Bayesian statistical approach using many examples chosen for their educational interest. The first part gives the general principles of statistical modeling making it possible to supervise but also to come to the aid of the imagination of the apprentice modeler. By examining examples of increasing difficulty, the reader forges the keys to building their own model. The second part presents the most useful calculation algorithms for estimating the unknowns of the model. Each inference method is presented and illustrated by numerous application cases.
Subject: Mathematics and Statistics / Inférence bayésienne / Simulation / Algorithms / Décision / information / Modélisation statistique / Méthodes de Monte Carlo par Chaines de Markov / Risque / Bayesian inference / Simulation / Algorithms / Decision / information / Statistical modeling / Monte Carlo methods by Markov Chains / Risk / Probability Theory and Stochastic Processes / Statistical Theory and Methods / Statistics and Computing / Statistics Programs / Statistics for Business, Management, Economics, Finance, Insurance
