LEADER 00000cam a2200841 i 4500 001 910237218 003 OCoLC 005 20240129213017.0 006 m o d 007 cr mn||||||||| 008 150528t20152015flua ob 000 0 eng d 019 910447765|a1066509999|a1076627287|a1153034773|a1165190813 |a1192339051|a1240527786 020 9781482235128|q(electronic bk.) 020 1482235129|q(electronic bk.) 020 0429172370 020 9780429172373 020 |q(Hardback) 020 |q(Hardback) 029 1 AU@|b000054975778 029 1 AU@|b000062580786 029 1 AU@|b000065159002 029 1 AU@|b000066526286 029 1 AU@|b000069023785 029 1 AU@|b000070351269 029 1 DEBBG|bBV042988401 029 1 DEBBG|bBV043620665 029 1 DEBSZ|b453330916 029 1 GBVCP|b826531121 035 (OCoLC)910237218|z(OCoLC)910447765|z(OCoLC)1066509999 |z(OCoLC)1076627287|z(OCoLC)1153034773|z(OCoLC)1165190813 |z(OCoLC)1192339051|z(OCoLC)1240527786 040 N$T|beng|erda|epn|cN$T|dN$T|dCUS|dYDXCP|dIDEBK|dE7B|dEBLCP |dCDX|dDEBSZ|dCRCPR|dOSU|dOCLCF|dMERER|dOCLCQ|dWYU|dLVT |dYDX|dTYFRS|dOCLCQ|dHS0|dVT2|dOCLCO|dOCLCQ|dSFB|dOCLCQ |dOCLCO 049 INap 082 04 519.542 082 04 519.542|223 099 eBook O'Reilly for Public Libraries 245 00 Current trends in Bayesian methodology with applications / |cedited by Satyanshu Kumar Upadhyay, Umesh Singh, Dipak K. Dey, Appaia Loganathan.|h[O'Reilly electronic resource] 264 1 Boca Raton, FL :|bCRC Pres,|c[2015] 264 4 |c©2015 300 1 online resource (xxxix, 640 pages) :|billustrations 336 text|btxt|2rdacontent 337 computer|bc|2rdamedia 338 online resource|bcr|2rdacarrier 504 Includes bibliographical references. 505 0 Front Cover; Contents; List of Figures; List of Tables; Preface; Foreword; List of Contributors; 1. Bayesian Inference on the Brain: Bayesian Solutions to Selected Problems in Neuroimaging; 2. Forecasting Indian Macroeconomic Variables Using Medium-Scale VAR Models; 3. Comparing Proportions: A Modern Solution to a Classical Problem; 4. Hamiltonian Monte Carlo for Hierarchical Models; 5. On Bayesian Spatio-Temporal Modeling of Oceanographic Climate Characteristics; 6. Sequential Bayesian Inference for Dynamic State Space Model Parameters 505 8 7. Bayesian Active Contours with Affine-Invariant Elastic Shape Prior8. Bayesian Semiparametric Longitudinal Data Modeling Using NI Densities; 9. Bayesian Factor Analysis Based on Concentration; 10. Regional Fertility Data Analysis: A Small Area Bayesian Approach; 11. In Search of Optimal Objective Priors for Model Selection and Estimation; 12. Bayesian Variable Selection for Predictively Optimal Regression; 13. Scalable Subspace Clustering with Application to Motion Segmentation; 14. Bayesian Inference for Logistic Regression Models Using Sequential Posterior Simulation 505 8 15. From Risk Analysis to Adversarial Risk Analysis16. Symmetric Power Link with Ordinal Response Model; 17. Elastic Prior Shape Models of 3D Objects for Bayesian Image Analysis; 18. Multi-State Models for Disease Natural History; 19. Priors on Hypergraphical Models via Simplicial Complexes; 20. A Bayesian Uncertainty Analysis for Nonignorable Nonresponse; 21. Stochastic Volatility and Realized Stochastic Volatility Models; 22. Monte Carlo Methods and Zero Variance Principle; 23. A Flexible Class of Reduced Rank Spatial Models for Large Non-Gaussian Dataset 505 8 24. A Bayesian Reweighting Technique for Small Area Estimation25. Empirical Bayes Methods for the Transformed Gaussian Random Field Model with Additive Measurement Errors; 26. Mixture Kalman Filters and Beyond; 27. Some Aspects of Bayesian Inference in Skewed Mixed Logistic Regression Models; 28. A Bayesian Analysis of the Solar Cycle Using Multiple Proxy Variables; 29. Fuzzy Information, Likelihood, Bayes' Theorem, and Engineering Application; 30. Bayesian Parallel Computation for Intractable Likelihood Using Griddy-Gibbs Sampler 520 Collecting Bayesian material scattered throughout the literature, Current Trends in Bayesian Methodology with Applications examines the latest methodological and applied aspects of Bayesian statistics. The book covers biostatistics, econometrics, reliability and risk analysis, spatial statistics, image analysis, shape analysis, Bayesian computation, clustering, uncertainty assessment, high-energy astrophysics, neural networking, fuzzy information, objective Bayesian methodologies, empirical Bayes methods, small area estimation, and many more topics. Each chapter is self-contained and focuses on. 546 English. 588 0 Print version record. 590 O'Reilly|bO'Reilly Online Learning: Academic/Public Library Edition 650 0 Bayesian statistical decision theory. 650 6 Théorie de la décision bayésienne. 650 7 Bayesian statistical decision theory|2fast 700 1 Upadhyay, Satyanshu K.,|eeditor. 700 1 Singh, Umesh,|eeditor. 700 1 Dey, Dipak,|eeditor. 700 1 Loganathan, Appaia,|eeditor. 776 08 |iPrint version:|aUpadhyay, Satyanshu K.|tCurrent Trends in Bayesian Methodology with Applications.|dHoboken : CRC Press, ©2015|z9781482235111 830 0 Online access with DDA: Askews (Maths) 856 40 |uhttps://ezproxy.naperville-lib.org/login?url=https:// learning.oreilly.com/library/view/~/9781482235128/?ar |zAvailable on O'Reilly for Public Libraries 938 Coutts Information Services|bCOUT|n31474102 938 ProQuest Ebook Central|bEBLB|nEBL2057685 938 ebrary|bEBRY|nebr11059074 938 EBSCOhost|bEBSC|n996991 938 ProQuest MyiLibrary Digital eBook Collection|bIDEB |ncis31474102 938 Taylor & Francis|bTAFR|n9780429172373 938 Taylor & Francis|bTAFR|nCAH0KE25969PDF 938 YBP Library Services|bYANK|n12382991 938 YBP Library Services|bYANK|n15923329 994 92|bJFN