Shared LACOL Course: Bayesian Statistics
Instructor: Professor Jingchen (Monika) Hu, Vassar College
Syllabus & Enrollment Info: http://bit.ly/bayesian-stats
Course Flyer: Bayesian Statistics PDF
Topics and Objectives:
- Understanding of basic concepts in Bayesian statistics and ability to apply Bayesian inference approaches to solve scientific research problems and real-word problems.
- Ability and skills to use statistical programming software (R/RStudio and JAGS) to realize Bayesian analysis.
- Practice of reading, discussing, and critiquing statistics research journal papers.
*Pending local approvals, this course is open to students in The Liberal Arts Collaborative for Digital Innovation (LACOL), a partnership of Amherst College, Bryn Mawr College, Carleton College, Davidson College, Hamilton College, Haverford College, Swarthmore College, Vassar College, Washington & Lee University, and Williams College