Bayesian Statistics

Bayesian Statistics

Course
en
English
25 h
This content is rated 4.3901 out of 5
Source
  • From www.coursera.org
Conditions
  • Self-paced
  • Free Access
  • Fee-based Certificate
More info
  • 5 Sequences
  • Intermediate Level

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Course details

Syllabus

  • Week 1 - About the Specialization and the Course
    This short module introduces basics about Coursera specializations and courses in general, this specialization: Statistics with R, and this course: Bayesian Statistics. Please take several minutes read this information. Thanks for joining us in this course!
  • Week 1 - The Basics of Bayesian Statistics

    Welcome! Over the next several weeks, we will together explore Bayesian statistics.

    In this module, we will work with conditional probabilities, which is the probability of event B given event A. Conditional probabilities are very important in medical de...

  • Week 2 - Bayesian Inference
    In this week, we will discuss the continuous version of Bayes' rule and show you how to use it in a conjugate family, and discuss credible intervals. By the end of this week, you will be able to understand and define the concepts of prior, likelihood, and post...
  • Week 3 - Decision Making
    In this module, we will discuss Bayesian decision making, hypothesis testing, and Bayesian testing. By the end of this week, you will be able to make optimal decisions based on Bayesian statistics and compare multiple hypotheses using Bayes Factors.
  • Week 4 - Bayesian Regression
    This week, we will look at Bayesian linear regressions and model averaging, which allows you to make inferences and predictions using several models. By the end of this week, you will be able to implement Bayesian model averaging, interpret Bayesian multiple l...
  • Week 5 - Perspectives on Bayesian Applications
    This week consists of interviews with statisticians on how they use Bayesian statistics in their work, as well as the final project in the course.
  • Week 5 - Data Analysis Project
    In this module you will use the data set provided to complete and report on a data analysis question. Please read the background information, review the report template (downloaded from the link in Lesson Project Information), and then complete the peer review...

Prerequisite

None.

Instructors

Mine Çetinkaya-Rundel
Associate Professor of the Practice
Department of Statistical Science

David Banks
Professor of the Practice
Statistical Science

Colin Rundel
Assistant Professor of the Practice
Statistical Science

Merlise A Clyde
Professor
Department of Statistical Science

Editor

Duke University is a private North American research university located in Durham, North Carolina. The university is named after the Duke dynasty. 

Although the university was not officially founded until 1924 (its roots go back to 1838). Frequently referred to as the "Harvard of the South", Duke is the most selective university in the American South. 

The university is a member of the Association of American Universities, an association which, since 1900, has brought together the elite research universities of North America.

Platform

Coursera is a digital company offering massive open online course founded by computer teachers Andrew Ng and Daphne Koller Stanford University, located in Mountain View, California. 

Coursera works with top universities and organizations to make some of their courses available online, and offers courses in many subjects, including: physics, engineering, humanities, medicine, biology, social sciences, mathematics, business, computer science, digital marketing, data science, and other subjects.

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