Bayesian Computational Analyses with R

Learn the concepts and practical side of using the Bayesian approach to estimate likely event outcomes.
4.09 (358 reviews)
Udemy
platform
English
language
Data Science
category
Geoffrey Hubona, Ph.D.
instructor
Bayesian Computational Analyses with R
4 087
students
11.5 hours
content
Sep 2020
last update
$59.99
regular price

What you will learn

Understand Bayesian concepts, and gain a great deal of practical "hands-on" experience creating and estimating Bayesian models using R software.

Effectively use the Bayesian approach to estimate likely event outcomes, or probabilities, using their own data.

Be able to apply a range of Bayesian functions using R software in order to model and estimate single parameter, multi-parameter, conjugate mixture, multinomial, and rejection and importance sampling Bayesian models.

Understand and use both predictive priors and predictive posteriors in Bayesian applications.

Be able to compare and evaluate alternative, competing Bayesian models.

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616072
udemy ID
18/09/2015
course created date
22/11/2019
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