An Introduction to Bayesian Inference, Methods and Computation

These lecture notes provide a rapid, accessible introduction to Bayesian statistical methods. The course covers the fundamental philosophy and principles of Bayesian inference, including the reasoning behind the prior/likelihood model construction synonymous with Bayesian methods, through to advance...

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Bibliographic Details
Main Author: Heard, Nick
Format: eBook
Published: Cham Springer International Publishing 2021, 2021
Edition:1st ed. 2021
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
Table of Contents:
  • Uncertainty and Decisions
  • Prior and Likelihood Representation
  • Graphical Modeling
  • Parametric Models
  • Computational Inference
  • Bayesian Software Packages
  • Model choice
  • Linear Models
  • Nonparametric Models
  • Nonparametric Regression
  • Clustering and Latent Factor Models
  • Conjugate Parametric Models