Bayesian Computational Statistics
A rigorous introduction to the theory of Bayesian Statistical Inference and Data Analysis, including prior and posterior distributions, Bayesian estimation and...
About This Course
A rigorous introduction to the theory of Bayesian Statistical Inference and Data Analysis, including prior and posterior distributions, Bayesian estimation and testing, Bayesian computation theories and methods, and implementation of Bayesian computation methods using popular statistical software. Required Textbook: Gelman, A., Carlin, J. B., Stern, H. S., Rubin, D. B. (2013) Bayesian Data Analysis, Third Edition, Chapman & Hall/CRC. Software Requirements: R or Python, Word processing (such as Word, Pages, LaTeX, etc)
Topics Covered
Frequently Asked Questions
How much does Bayesian Computational Statistics cost?
Visit the Bayesian Computational Statistics course page for current pricing and available discounts.
Who teaches Bayesian Computational Statistics?
Bayesian Computational Statistics is taught by Shahrzad (Sara) Jamshidi, Illinois Tech.
What skill level is Bayesian Computational Statistics for?
This course is designed for beginner learners.
Similar Courses
Minitab Applied Statistics & Hypothesis Testing Mastery
EDUCBA
Evaluate and Optimize Enterprise Log Analytics
EDUCBA
Linear Algebra from Elementary to Advanced
Johns Hopkins University
Data Science Fundamentals with Python and SQL
IBM