Bayesian Inference in the Social Sciences

Editat de Ivan Jeliazkov, Xin–She Yang
Notă GoodReads:
en Limba Engleză Carte Hardback – 31 Oct 2014
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.
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ISBN-13: 9781118771211
ISBN-10: 1118771214
Pagini: 352
Ilustrații: black & white line drawings, black & white tables, maps, figures
Dimensiuni: 164 x 245 x 24 mm
Greutate: 0.59 kg
Editura: Wiley
Locul publicării: Hoboken, United States

Public țintă

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.