Bayesian inference in the social sciences
by Jeliazkov, Ivan Yang, Xin-She
"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 …
Read More ↓Title Statements
- Full title :Bayesian inference in the social sciences / edited by Ivan Jeliazkov, Department of Economics, University of California, Irvine, California, USA, Xin-She Yang, School of Science and Technology, Middlesex University, London, UK.
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"--
Read More ↓Edition Statements
- Publication Date:2014
Publication Statements
- Publisher(s):Wiley
- Place of Publication:Hoboken, New Jersey
- Language:eng
- Publication Date:2014
The Physical Object
- Description:xiv, 334 pages ; : 25 cm
Edition Identifiers
- ISBN:9781118771211, 1118771214
- oclc:ocn864506327
- LC Classification:HA29
- Dewey Decimal:519.5/42
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