Chapter: A - Probability Distributions and Matrix Theorems

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Home > Introduction to Bayesian Econometrics > A - Probability Distributions and Matrix Theorems

Introduction to Bayesian Econometrics |

Edward Greenberg

Cambridge University Press

A - Probability Distributions and Matrix Theorems

Chapter Info

ARI Id

1667178938736_9999569

Access

Not Available Free

Pages

182-191

Chapter URL

https://www.cambridge.org/core/books/introduction-to-bayesian-econometrics/probability-distributions-and-matrix-theorems/FA8085827E89FC401FE824CC06A12F83

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Chapters/Headings	Author(s)	Pages	Info
Frontmatter		i-iv
Contents		v-viii
List of Figures		ix-x
List of Tables		xi-xii
Preface		xiii-xvi
Part I - Fundamentals of Bayesian Inference		1-2
1 - Introduction		3-6
2 - Basic Concepts of Probability and Inference		7-19
3 - Posterior Distributions and Inference		20-40
4 - Prior Distributions		41-60
Part II - Simulation		61-62
5 - Classical Simulation		63-75
6 - Basics of Markov Chains		76-89
7 - Simulation by MCMC Methods		90-108
Part III - Applications		109-110
8 - Linear Regression and Extensions		111-133
9 - Multivariate Responses		134-152
10 - Time Series		153-167
11 - Endogenous Covariates and Sample Selection		168-181
A - Probability Distributions and Matrix Theorems		182-191
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