Bayesian Inference in the Social Sciences
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…
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Produktdetails
Weitere Autoren: Jeliazkov, Ivan (Hrsg.)
- ISBN: 978-1-118-77118-1
- EAN: 9781118771181
- Produktnummer: 17195643
- Verlag: Wiley
- Sprache: Englisch
- Erscheinungsjahr: 2014
- Seitenangabe: 352 S.
- Plattform: PDF
- Masse: 28'808 KB
Über den Autor
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 engineering. XIN-SHE YANG, PhD, is Reader in Modeling and Optimization at Middlesex University, United Kingdom, as well as Adjunct Professor at Reykjavik University, Iceland. He is the author of Mathematical Modeling with Multidisciplinary Applications and Engineering Optimization: An Introduction with Metaheuristic Applications, both of which are published by Wiley.
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