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Bayesian inference in the social sciences / [edited by] Ivan Jeliazkov and Xin-She Yang.

Contributor(s): Material type: TextTextPublication details: New Jersey : John Wiley, c2014.Description: xiv, 334 p. : ill. ; 25 cmISBN:
  • 9781118771211 (hardback)
Subject(s): DDC classification:
  • 000SA.161 23 J48
Contents:
1. Bayesian Analysis of Dynamic Network Regression with Joint Edge/Vertex Dynamics-- 2. Ethnic Minority Rule and Civil War: A Bayesian Dynamic Multilevel Analysis 3. Bayesian Analysis of Treatment Effect Models-- 4. Bayesian Analysis of Sample Selection Models-- 5. Modern Bayesian Factor Analysis-- 6. Estimation of stochastic volatility models with heavy tails and serial dependence-- 7. From the Great Depression to the Great Recession: A Modelbased Ranking of U.S. Recesssions-- 8. What Difference Fat Tails Make: A Bayesian MCMC Estimation of Empirical Asset Pricing Models-- 9. Stochastic search for price insensitive consumers-- 10. Hierarchical Modeling of Choice Concentration of US Households-- 11. Approximate Bayesian inference in models defined through estimating equations-- 12. Reacting to Surprising Seemingly Inappropriate Results-- 13. Identification and MCMC estimation of bivariate probit models w ith partial observability-- 14. School choice effects in tokyo metropolitan area: a Bayesian spatial quantile regression approach-- Bibliography-- Index.
Summary: "Bayesian Inference in the Social Sciences builds upon the recent growth in Bayesian methodology and examines an array of topics in model formulation, estimation, and applications. Particular emphasis is placed on an interdisciplinary coverage, model checking, and modern computational tools such as Markov chain Monte Carlo.The book's broad interdisciplinary coverage provides exposure to recent and trending developments in a diverse, yet closely integrated, set of research topics in the social sciences. This approach facilitates the transmission of new ideas, developments, and methodology from one discipline to another, while at the same time maintaining manageability, coherence, and a clear focus"--
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Holdings
Item type Current library Call number Status Date due Barcode Item holds
Books ISI Library, Kolkata 000SA.161 J48 (Browse shelf(Opens below)) Available 136113
Total holds: 0

Includes bibliographical references and index.

1. Bayesian Analysis of Dynamic Network Regression with Joint Edge/Vertex Dynamics--
2. Ethnic Minority Rule and Civil War: A Bayesian Dynamic Multilevel Analysis
3. Bayesian Analysis of Treatment Effect Models--
4. Bayesian Analysis of Sample Selection Models--
5. Modern Bayesian Factor Analysis--
6. Estimation of stochastic volatility models with heavy tails and serial dependence--
7. From the Great Depression to the Great Recession: A Modelbased Ranking of U.S. Recesssions--
8. What Difference Fat Tails Make: A Bayesian MCMC Estimation of Empirical Asset Pricing Models--
9. Stochastic search for price insensitive consumers--
10. Hierarchical Modeling of Choice Concentration of US Households--
11. Approximate Bayesian inference in models defined through estimating equations--
12. Reacting to Surprising Seemingly Inappropriate Results--
13. Identification and MCMC estimation of bivariate probit models w ith partial observability--
14. School choice effects in tokyo metropolitan area: a Bayesian spatial quantile regression approach--
Bibliography--
Index.

"Bayesian Inference in the Social Sciences builds upon the recent growth in Bayesian methodology and examines an array of topics in model formulation, estimation, and applications. Particular emphasis is placed on an interdisciplinary coverage, model checking, and modern computational tools such as Markov chain Monte Carlo.The book's broad interdisciplinary coverage provides exposure to recent and trending developments in a diverse, yet closely integrated, set of research topics in the social sciences. This approach facilitates the transmission of new ideas, developments, and methodology from one discipline to another, while at the same time maintaining manageability, coherence, and a clear focus"--

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