Bayesian Statistics: From Concept to Data Analysis

Bayesian Statistics: From Concept to Data Analysis

Course
en
English
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Source
  • From www.coursera.org
Conditions
  • Self-paced
  • Free Access
  • Fee-based Certificate
More info
  • 4 Sequences
  • Intermediate Level

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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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