Bayesian Logical Data Analysis For The Physical Sciences - A Comparative Approach With Mathematica
โ Scribed by Phil Gregory
- Publisher
- Cambridge University Press
- Year
- 2005
- Tongue
- English
- Leaves
- 488
- Category
- Library
No coin nor oath required. For personal study only.
โฆ Synopsis
Researchers in many branches of science are increasingly coming into contact with Bayesian statistics or Bayesian probability theory. This book provides a clear exposition of the underlying concepts with large numbers of worked examples and problem sets. It also discusses numerical techniques for implementing the Bayesian calculations, including Markov Chain Monte-Carlo integration and linear and nonlinear least-squares analysis seen from a Bayesian perspective.
๐ SIMILAR VOLUMES
Nicely written. Clear and concise. Chapter 12 contains a great introduction to Monte Carlo methods, the best I ever had read for novice practitioners. Buy it!
Bayesian inference provides a simple and unified approach to data analysis, allowing experimenters to assign probabilities to competing hypotheses of interest, on the basis of the current state of knowledge. By incorporating relevant prior information, it can sometimes improve model parameter estima