Professional Course

Advanced Bayesian Statistics Using R

edX, Online
Length
6 weeks
Price
139 USD
Next course start
Start anytime See details
Delivery
Self-paced Online
Length
6 weeks
Price
139 USD
Next course start
Start anytime See details
Delivery
Self-paced Online
Visit this course's homepage on the provider's site to learn more or book!

Course description

Advanced Bayesian Statistics Using R

Advanced Bayesian Data Analysis Using R is part two of the Bayesian Data Analysis in R professional certificate.

This course is directed at people who are already familiar with the fundamentals of Bayesian inference. It explores further the concepts, methods, and algorithms introduced in the part one (Introductory Bayesian Data Analysis Using R).

The course places mixed effects regression models useful for experiments with repeated measures or additional hierarchy often encountered in biostatistics, ecology and health sciences among others within the Bayesian context. It takes a closer look at the Markov Chain Monte Carlo (MCMC) algorithms, why they work and how to implement them in the R programming language. Convergence assessment and visualisation of the results are discussed in some detail. The course also explores Bayesian model averaging, often used in machine learning, all within the context of practical examples.

Finally, we discuss different kinds of missing data, and the Bayesian methods of dealing with such situations.

Prior facility in basic algebra and calculus as well as programming in R is highly recommended.

Upcoming start dates

1 start date available

Start anytime

  • Self-paced Online
  • Online
  • English

Who should attend?

Prerequisites

Prior facility in basic algebra and calculus as well as programming in R is highly recommended.

Course delivery details

This course is offered through University of Canterbury, a partner institute of EdX.

5-10 hours per week

Costs

  • Verified Track -$139
  • Audit Track - Free

Certification / Credits

What you'll learn

  • Using latent (unobserved) variables and dealing with missing data.
  • Multivariate analysis within the context of mixed effects linear regression models. Structure, assumptions, diagnostics and interpretation. Posterior inference and model selection.
  • Why Monte Carlo integration works and how to implement your own MCMC Metropolis-Hastings algorithm in R.
  • Bayesian model averaging in the context of change-point problem. Pinpointing the time of change and obtaining uncertainty

Contact this provider

Contact course provider

Fill out your details to find out more about Advanced Bayesian Statistics Using R.

  Contact the provider

  Get more information

  Register your interest

Country *

reCAPTCHA logo This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
edX
141 Portland Street
02139 Cambridge Massachusetts

edX

edX For Business helps leading companies upskill their labor forces by making the world’s greatest educational resources available to learners across a wide variety of in-demand fields. edX For Business delivers high-quality corporate eLearning to train and engage your employees...

Read more and show all training delivered by this supplier

Ads