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Ivan Jeliazkov - Bayesian Inference in the Social Sciences - 9781118771211 - V9781118771211
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Bayesian Inference in the Social Sciences

€ 143.71
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Description for Bayesian Inference in the Social Sciences Hardcover. 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. Editor(s): Jeliazkov, Ivan; Yang, Xin-She. Num Pages: 352 pages, black & white line drawings, black & white tables, maps, figures. BIC Classification: GPS; JHBC. Category: (P) Professional & Vocational. Dimension: 243 x 161 x 23. Weight in Grams: 606.

Presents new models, methods, and techniques and considers important real-world applications in political science, sociology, economics, marketing, and finance

Emphasizing interdisciplinary coverage, 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. The book presents recent and trending developments in a diverse, yet closely integrated, set of research topics within the social sciences and facilitates the transmission of new ideas and methodology across disciplines while maintaining manageability, coherence, and a clear focus.

Bayesian Inference in the Social Sciences ... Read more

  • Real-world applications and case studies that highlight asset pricing under fat-tailed distributions, price indifference modeling and market segmentation, analysis of dynamic networks, ethnic minorities and civil war, school choice effects, and business cycles and macroeconomic performance
  • State-of-the-art computational tools and Markov chain Monte Carlo algorithms with related materials available via the book’s supplemental website
  • Interdisciplinary coverage from well-known international scholars and practitioners

Bayesian Inference in the Social Sciences
is an ideal reference for researchers in economics, political science, sociology, and business as well as an excellent resource for academic, government, and regulation agencies. The book is also useful for graduate-level courses in applied econometrics, statistics, mathematical modeling and simulation, numerical methods, computational analysis, and the social sciences. Show Less

Product Details

Format
Hardback
Publication date
2014
Publisher
John Wiley & Sons Inc
Condition
New
Number of Pages
352
Place of Publication
New York, United States
ISBN
9781118771211
SKU
V9781118771211
Shipping Time
Usually ships in 7 to 11 working days
Ref
99-32

About Ivan Jeliazkov
IVAN JELIAZKOV, PhD, is Associate Professor of Economics and Statistics at the University of California, Irvine. Dr. Jeliazkov's research interests include Bayesian econometrics and discrete data analysis, model comparison, and simulation-based inference. In addition to developing new methods and estimation techniques, his work features applications in a variety of disciplines, including micro- and macroeconomics, marketing, political science, transportation, and environmental ... Read more

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