Robustness of Bayesian Analyses

"Robustness of Bayesian Analyses" by Joseph B. Kadane, published by North-Holland. This paper presents algorithms for robustness analysis of Bayesian networks with global neighborhoods. Robust Bayesian inference is the calculation of bounds on posterior valuesgiven perturbations in a probabilistic model. We present algorithms for robust inference (including expected utility, expected value and variance bounds) with global perturbations that can be modeled by ffl-contaminated, constant density ratio, constant density bounded and total variation classes of distributions. Book details: 326 pages, published 1984. Order now on BookShops.in with fast, reliable delivery across India.