Subject Index original example, 30 Bayesian data analysis, three steps of, 3 Bayesian filtering and smoothing, 516 Behrens–Fisher problem, 80 belief functions, 98 - Behrens–Fisher problem - Document - PDFSEARCH.IO

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	Subject Index original example, 30 Bayesian data analysis, three steps of, 3 Bayesian filtering and smoothing, 516 Behrens–Fisher problem, 80 belief functions, 98 Add to Reading List Document Date: 2013-09-18 03:45:49 Open Document File Size: 172,81 KB Share Result on Facebook City New York / / Company Monte Carlo / Cox / / Country Australia / Slovenia / United States / / Facility Latin square / / IndustryTerm neural networks / leapfrog algorithm / internet example / software conditional maximization / adaptive algorithms / airline fatalities / / Organization U.S. Congress / Alcoholics Anonymous / / PoliticalEvent presidential elections / / Position Fisher / / ProgrammingLanguage R / / Technology 27 EM algorithm / 482 EM algorithm / ECME algorithms / pharmacokinetics / 78 SUBJECT INDEX leapfrog algorithm / 440 EM algorithm / 605 leapfrog algorithm / SECM algorithms / Metropolis-Hastings algorithm / 150 AECM algorithm / 279 Metropolis-Hastings algorithm / 312 EM algorithm / simulation / EM algorithm / 325 AECM algorithm / 286 Metropolis algorithm / 310 adaptive algorithms / 454 SEM algorithm / Metropolis algorithm / 279 655 Metropolis-Hastings algorithm / 307 leapfrog algorithm / 242 Metropolis algorithm / / SocialTag Empirical Bayes method Conjugate prior Linear regression Mixture model Deviance information criterion Calibration Gibbs sampling Bootstrapping Nonparametric regression Statistics

Subject Index original example, 30 Bayesian data analysis, three steps of, 3 Bayesian filtering and smoothing, 516 Behrens–Fisher problem, 80 belief functions, 98Add to Reading List