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008 150528t20152015flua ob 000 0 eng d
040 _aNT
_beng
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020 _a9781482235128
_q((electronic)l(electronic)ctronic)
050 0 4 _aQA279
_b.C877 2015
049 _aMAIN
245 1 0 _aCurrent trends in Bayesian methodology with applications /edited by Satyanshu Kumar Upadhyay, Umesh Singh, Dipak K. Dey, Appaia Loganathan.
260 _aBoca Raton, FL :
_bCRC Pres,
_c(c)2015.
300 _a1 online resource (xxxix, 640 pages) :
_billustrations
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _adata file
_2rda
520 0 _aCollecting 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.
504 _a1
505 0 0 _aFront 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 0 0 _a7. 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 0 0 _a15. 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 0 0 _a24. 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
530 _a2
_ub
650 0 _aBayesian statistical decision theory.
655 1 _aElectronic Books.
700 1 _aUpadhyay, Satyanshu K.,
_e5
700 1 _aSingh, Umesh,
_e5
700 1 _aDey, Dipak,
_e5
700 1 _aLoganathan, Appaia,
_e5
856 4 0 _zClick to access digital title | log in using your CIU ID number and my.ciu.edu password.
_uhttpss://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=996991&site=eds-live&custid=s3260518
942 _cOB
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_x
_8NFIC
_2LOC
994 _a92
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999 _c76230
_d76230
902 _a1
_bCynthia Snell
_c1
_dCynthia Snell