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Cambridge University Press Cambridge Bayesian Econometric Methods - 2nd Edition Book

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Description

Master the principles of Bayesian inference with Bayesian Econometric Methods from Cambridge University Press. This second edition provides a practical approach to econometrics by presenting a series of theoretical and applied questions paired with detailed solutions. Designed for advanced study, the text expands its coverage to include essential models used in finance and macroeconomics. You will find in-depth material on state space and unobserved components models, stochastic volatility models, ARCH, GARCH, and vector autoregressive models. This edition also features new exercises focused on Gibbs sampling and Markov Chain Monte Carlo (MCMC) methods. Whether studying regression-based or hierarchical specifications, this book serves as a comprehensive guide for navigating complex econometric modeling and statistical inference.

Key Features

This Cambridge University Press textbook examines the core principles of Bayesian inference through theoretical and applied questions.

The second edition includes extensive coverage of models used in macroeconomics and finance, such as ARCH and GARCH models.

Learn to navigate state space and unobserved components models through detailed solutions provided in the text.

New exercises are included to help students master Gibbs sampling and Markov Chain Monte Carlo (MCMC) methods.

The content covers a variety of specifications including regression-based and hierarchical models for econometric analysis.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
15 August 2019
Listed Since
08 February 2019

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