Bayesian Statistics Specialization
Master Bayesian Statistics with a Bayesian Statistics Specialization
The Institute offers specializations in topics in several areas of focus. Successfully complete three of the courses listed and you'll earn a Record of Specialization from the Institute for Statistics Education at Statistics.com.
Bayesian statistics, now that it has been unleashed by computing power, gained popularity because, unlike the sometimes convoluted logic of frequentist statistics, it answers a question that people want an answer to. This is usually a question starting with "What is the probability that...X," where X is the question of interest, not some artificial abstract construct of hypothesis testing.
- Introduction to Bayesian Statistics
- Introduction to Bayesian Computing and Techniques
- Introduction to MCMC and Bayesian Regression via rstan
- Bayesian Statistics in R
- Bayesian Hierarchical and Multi-Level Models
William M. Bolstad (Professor of Statistics at the University of Waikato, New Zealand, and the author of "Introduction to Bayesian Statistics,") teaches "Introduction to Bayesian Statistics."
Peter Congdon (Research Professor in Quantitative Geography and Health Statistics at Queen Mary University of London, and the author of “Bayesian Statistical Modeling" and "Applied Bayesian Modeling”) teaches the other courses.
Format of the Course:
You'll have weekly readings and exercises, a private discussion forum with the instructor and your student colleagues in a small online class, and you'll get marks and individual feedback on all your submitted work. Each course will require about 15 hours per week and there are no set hours when you must be online.
Bayesian statisticians (the policeman) like to think of frequentists as the man in the hat searching for his quarter, in this Mutt and Jeff cartoon.
1942 June 3, Florence Morning News, Mutt and Jeff Comic Strip, Page 7, Florence, South Carolina. (NewspaperArchive)
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