Welcome to the course!

Fundamentals of Bayesian Data Analysis in R

Rasmus Bååth

Data Scientist

Fundamentals of Bayesian Data Analysis in R

Fundamentals of Bayesian Data Analysis in R

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Fundamentals of Bayesian Data Analysis in R

Fundamentals of Bayesian Data Analysis in R

Fundamentals of Bayesian Data Analysis in R

Bayesian inference in a nutshell

A method for figuring out unobservable quantities given known facts that uses probability to describe the uncertainty over what the values of the unknown quantities could be.

Fundamentals of Bayesian Data Analysis in R

Fundamentals of Bayesian Data Analysis in R

Fundamentals of Bayesian Data Analysis in R

Fundamentals of Bayesian Data Analysis in R

Bayesian data analysis

  • The use of Bayesian inference to learn from data.
  • Can be used for hypothesis testing, linear regression, etc.
  • Is flexible and allows you to construct problem-specific models.
Fundamentals of Bayesian Data Analysis in R

Course overview

  • Chapter 1: A small Bayesian analysis.
  • Chapter 2: How Bayesian inference works.
  • Chapter 3: Why you would want to use Bayesian data analysis?
  • Chapter 4: Bayesian inference with Bayes theorem.
  • Chapter 5: Wrapping up + a practical tool for Bayesian Data Analysis in R.
Fundamentals of Bayesian Data Analysis in R

Bayesian Data analysis: a tool to make sense of your data.

Fundamentals of Bayesian Data Analysis in R

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