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Bayesian Econometric Methods (Econometric Exercises, Series Number 7)
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Bayesian Econometric Methods examines principles of Bayesian inference by posing a series of theoretical and applied questions and providing detailed solutions to those questions.
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What Stands Out
Product Details
| Publisher | Cambridge University Press |
| Publication date | August 15, 2019 |
| Edition | 2nd |
| Language | English |
| Print length | 486 pages |
| ISBN-10 | 1108437494 |
| ISBN-13 | 978-1108437493 |
| Item Weight | 2.18 pounds (990 grams) |
| Dimensions | 7.44 x 1.11 x 9.69 inches (18.9 x 2.8 x 24.6 cm) |
| Book 3 of 3 | Econometric Exercises |
Who Should Buy?
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Graduate Students
Ideal for graduate students seeking a comprehensive resource on Bayesian econometrics for academic research and projects.
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Data Analysts
Beneficial for data analysts who need a practical guide to applying Bayesian methods in real-world data analysis scenarios.
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Econometrics Instructors
Useful for instructors looking for teaching materials that provide clear examples and exercises in Bayesian econometric methods.
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Beginners
Not suited for beginners lacking foundational knowledge in econometrics, as it demands a strong understanding of complex concepts.
Product Description
Bayesian Econometric Methods (Econometric Exercises, Series Number 7)
Customer Questions & Answers
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Question:
What is the focus of this book?
Answer: The focus of this book is on the principles of Bayesian inference by posing a series of theoretical and applied questions and providing detailed solutions to those questions -
Question:
Does this book include coverage of models popular in finance and macroeconomics?
Answer: Yes, the second edition has extensive coverage of models popular in finance and macroeconomics -
Question:
Who can find this book useful?
Answer: This book is suitable for graduate study in economics and also of interest to students studying statistics, finance, marketing, and agricultural economics.
Joshua Chan (Contributor) Format: Paperback Econometrics & Statistics Editorial Review
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Pros
- Comprehensive exercises for practice
- Clear explanations of concepts
- Well-structured chapters
- Useful for both beginners and advanced
- Great for academic and professional use
Cons
- Some examples may be outdated.
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Features & Benefits
- Extensive coverage of popular models in finance and macroeconomics
- Inclusion of many new exercises related to MCMC methods
- Suitable for graduate study in economics
- Discusses and illustrates MCMC methods in detail
- MATLAB® computer programs are provided on the website
- Of interest to students studying statistics, finance, marketing, and agricultural economics
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