Bayesian Economics Through Numerical Methods: A Guide to Econometrics and Decision-Making with Prior Information
This guide explores Bayesian approaches to economics through numerical methods, with emphasis on econometrics and decision-making informed by prior information. It offers readers a structured introduction to the role of computation and prior assumptions in economic analysis.
About This Book
Bayesian Economics Through Numerical Methods introduces Bayesian perspectives within economics and econometrics.
The book focuses on numerical methods, highlighting computational approaches to working with Bayesian models and analysis.
It also addresses decision-making with prior information, connecting economic reasoning with the use of informed assumptions.
This guide is suited to readers interested in the relationship between econometric methods, numerical analysis, and Bayesian decision-making.
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