Bayesian Computational Statistics
This course is part of Advanced Statistical Techniques for Data Science Specialization
Instructor: Shahrzad (Sarah) Jamshidi
Skills you'll gain
There are 9 modules in this course
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)
Module 2: Single Parameter Models
Module 3: Multiparameter Models
Module 4: Large-Sample Inference and Frequency Properties
Module 5: Hierarchical Models
Module 6: Bayesian Computation
Module 7: Regression Models
Module 8: Advanced Topics
Summative Course Assessment
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