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Books > Reference & Interdisciplinary > Communication studies > Research methods
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Bayesian Inference in the Social Sciences (Hardcover)
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Bayesian Inference in the Social Sciences (Hardcover)
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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.
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