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Bayesian Statistics: From Concept to Data Analysis
Course
en
English
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- Self-paced
- Free Access
- Fee-based Certificate
- 4 Sequences
- Intermediate Level
Course details
Syllabus
- Week 1 - Probability and Bayes' Theorem
In this module, we review the basics of probability and Bayes’ theorem. In Lesson 1, we introduce the different paradigms or definitions of probability and discuss why probability provides a coherent framework for dealing with uncertainty. In Lesson 2, we revi... - Week 2 - Statistical Inference
This module introduces concepts of statistical inference from both frequentist and Bayesian perspectives. Lesson 4 takes the frequentist view, demonstrating maximum likelihood estimation and confidence intervals for binomial data. Lesson 5 introduces the funda... - Week 3 - Priors and Models for Discrete Data
In this module, you will learn methods for selecting prior distributions and building models for discrete data. Lesson 6 introduces prior selection and predictive distributions as a means of evaluating priors. Lesson 7 demonstrates Bayesian analysis of Bernoul... - Week 4 - Models for Continuous Data
This module covers conjugate and objective Bayesian analysis for continuous data. Lesson 9 presents the conjugate model for exponentially distributed data. Lesson 10 discusses models for normally distributed data, which play a central role in statistics. In Le...
Prerequisite
None.
Instructors
Herbert Lee
Professor
Applied Mathematics and Statistics
Editor
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