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Bayesian Inference in the Social Sciences (Hardcover) Loot Price: R3,249
Discovery Miles 32 490
Bayesian Inference in the Social Sciences (Hardcover): I Jeliazkov

Bayesian Inference in the Social Sciences (Hardcover)

I Jeliazkov

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Loot Price R3,249 Discovery Miles 32 490 | Repayment Terms: R304 pm x 12*

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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 features innovative methodology and novel applications in addition to new theoretical developments and modeling approaches, including the formulation and analysis of models with partial observability, sample selection, and incomplete data. Additional areas of inquiry include a Bayesian derivation of empirical likelihood and method of moment estimators, and the analysis of treatment effect models with endogeneity. The book emphasizes practical implementation, reviews and extends estimation algorithms, and examines innovative applications in a multitude of fields. Time series techniques and algorithms are discussed for stochastic volatility, dynamic factor, and time-varying parameter models. Additional features include: * 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.

General

Imprint: John Wiley & Sons
Country of origin: United States
Release date: October 2014
First published: 2014
Authors: I Jeliazkov
Dimensions: 245 x 164 x 24mm (L x W x T)
Format: Hardcover - Cloth over boards
Pages: 352
ISBN-13: 978-1-118-77121-1
Categories: Books > Reference & Interdisciplinary > Communication studies > Research methods
Books > Social sciences > Sociology, social studies > Social research & statistics > General
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LSN: 1-118-77121-4
Barcode: 9781118771211

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