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Bayesian economics through numerical methods : a guide to econometrics and decision-making with prior information
Overview of attention for book
Bayesian economics through numerical methods : a guide to econometrics and decision-making with…
Springer
Table of Contents
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Book Overview
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Chapter 1
Introduction
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Chapter 2
A Quick Course in Bayesian Statistics and Decision Theory
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Chapter 3
New Advances in Numerical Bayesian Techniques
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Chapter 4
Imposing Economic Theory
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Chapter 5
Studying Parameters of Interest
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Chapter 6
Unit Root and Cointegration Tests
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Chapter 7
Model Specification Uncertainty
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Chapter 8
Forecasting
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Chapter 9
More Realistic Models Through Numerical Methods
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Chapter 10
Decision Theory Applications
Overall attention for this book and its chapters
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Mentioned by
syllabi
1
institution with syllabi
Citations
dimensions_citation
1
Dimensions
Readers on
mendeley
8
Mendeley
Book overview
1. Introduction
2. A Quick Course in Bayesian Statistics and Decision Theory
3. New Advances in Numerical Bayesian Techniques
4. Imposing Economic Theory
5. Studying Parameters of Interest
6. Unit Root and Cointegration Tests
7. Model Specification Uncertainty
8. Forecasting
9. More Realistic Models Through Numerical Methods
10. Decision Theory Applications
Summary
Syllabi
Dimensions citations
This data is correct as of December 2015 - for more up to date information, please visit
https://opensyllabus.org/
So far, Altmetric has seen this research output assigned in
2
syllabi from
1
institutions on Open Syllabus Project.
Institution
Syllabi count
Course subject areas covered
Iowa State University
2
Economics, Agriculture