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Since the advent of Markov chain Monte Carlo (MCMC) methods in the early 1990s, Bayesian methods have been proposed for a large and growing number of applications.
This book contributes to this literature by collecting a set of carefully evaluated contributions that a.
One of the main advantages of Bayesian inference is the ability to deal with many different sources of uncertainty, including data, models, parameters and parameter restriction uncertainties, in a unified and coherent framework.
Since the advent of Markov chain Monte Carlo (MCMC) methods in the early 1990s, Bayesian methods have been proposed for a large and growing number of applications
Uneori, aceste descrieri pot contine inadvertente. De asemenea, imaginea este informativa si poate contine accesorii neincluse in pachetele standard.
