[Bayesian Statistics] Gaussian Process Models (2)
Ch 21. Gaussian Process Models (cont’d) The contents of this post is subsequent to...
Nov 29, 2021- Posts
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[Bayesian Statistics] Gaussian Process Models (1)
Ch 21. Gaussian Process Models This post is a summary of Chapter 21 of...
Nov 15, 2021[Bayesian Statistics] Basis Function Models
Ch 20. Basis Function Models This post is a summary of Chapter 20 of...
Oct 26, 2021[Bayesian Statistics] Parametric Nonlinear Models
Ch19. Parametric nonlinear models This post is a summary of Chapter 19 of the...
Oct 19, 2021[Bayesian Statistics] Hamiltonian Monte Carlo
This post is a gentle introduction to the Hamiltonian Monte Carlo, an highly efficient...
Mar 12, 2021[Bayesian Statistics] Gibbs Sampling
This post is a gentle introduction to the Gibbs Sampling algorithm which is a...
Feb 25, 2021[Bayesian Statistics] Metropolis-Hastings
This post briefly explains the Metropolis-Hastings algorithm, which is a algorithmic methodology of MCMC...
Feb 21, 2021[Bayesian Statistics] Modeling and Monte Carlo Estimation
This post is an introduction to how Monte Carlo method can be used for...
Feb 20, 2021[Bayesian Statistics] Conjugacy
This post is a gentle introduction of when and how to use conjugate priors...
Feb 15, 2021[Bayesian Statistics] Basics
This post is a gentle introduction to the field of Bayesian Statistics focusing on...
Feb 09, 2021