Random walk example, Part 2

Loading...
查看授课大纲

您将学习的技能

Gibbs Sampling, Bayesian Statistics, Bayesian Inference, R Programming

审阅

4.8(362 个评分)
  • 5 stars
    83.42%
  • 4 stars
    12.98%
  • 3 stars
    1.93%
  • 2 stars
    0.82%
  • 1 star
    0.82%
B
Jul 7, 2018

This is a great course for an introduction to Bayesian Statistics class. Prior knowledge of the use of R can be very helpful. Thanks for such a wonderful course!!!

FM
May 3, 2020

I really liked the course. It was well organized. The fact that the theory was accompanied by hands-on exercises in R truly reinforced the concept. Well-done!

从本节课中
Markov chain Monte Carlo (MCMC)
Metropolis-Hastings, Gibbs sampling, assessing convergence

教学方

  • Placeholder

    Matthew Heiner

    Doctoral Student

探索我们的目录

免费加入并获得个性化推荐、更新和优惠。