Name: Bayesian Econometric Methods (Econometric Exercises) (en Inglés)
Price: 244.14 PEN
Availability: InStock
Author: Chan, Joshua ; Koop, Gary ; Poirier, Dale J.
ISBN: 9781108437493

portada Bayesian Econometric Methods (Econometric Exercises) (en Inglés)

Formato

Libro Físico

Autor

Joshua Chan

Gary Koop

Dale J. Poirier

Editorial

Cambridge University Press

Año

2019

Idioma

Inglés

N° páginas

480

Encuadernación

Tapa Blanda

Dimensiones

24.5 x 18.3 x 2.3 cm

Peso

0.95 kg.

ISBN13

9781108437493

N° edición

0002

Categorías

Econometría

Bayesian Econometric Methods (Econometric Exercises) (en Inglés)

Joshua Chan (Autor) · Gary Koop (Autor) · Dale J. Poirier (Autor) · Cambridge University Press · Tapa Blanda

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S/ 488,28

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Reseña del libro "Bayesian Econometric Methods (Econometric Exercises) (en Inglés)"

Bayesian Econometric Methods examines principles of Bayesian inference by posing a series of theoretical and applied questions and providing detailed solutions to those questions. This second edition adds extensive coverage of models popular in finance and macroeconomics, including state space and unobserved components models, stochastic volatility models, ARCH, GARCH, and vector autoregressive models. The authors have also added many new exercises related to Gibbs sampling and Markov Chain Monte Carlo (MCMC) methods. The text includes regression-based and hierarchical specifications, models based upon latent variable representations, and mixture and time series specifications. MCMC methods are discussed and illustrated in detail - from introductory applications to those at the current research frontier - and MATLAB(R) computer programs are provided on the website accompanying the text. Suitable for graduate study in economics, the text should also be of interest to students studying statistics, finance, marketing, and agricultural economics.