BIOS 640: Intro to Bayesian Statistics at School of Public Health
3 credits · Fall 2026
Intro to Bayesian Statistics (BIOS 640) at School of Public Health has 1 way to take it in Fall 2026. 1 of 1 section has an open seat right now.
The professor is: Zachary Shahn.
Compare them below, check the days and times, and add the course to your schedule.
Requirements
Prerequisite: BIOS 621 and EPID 621
About this course
The course introduces the fundamentals of Bayesian inference. It covers simple Bayesian models and complicated models, including linear regression and hierarchical models. Bayesian computational methods, especially Markov Chain Monte Carlo methods will be discussed. Emphasis will also be placed on model checking and evaluation for public health research applications.
Professors for BIOS 640 at School of Public Health, Fall 2026
- Zachary ShahnNo ratings found
1 section · 1 open
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BIOS 640 sections, times and seats
Seat status as of Oct 4, 6:09 PM ET. Seats can change between refreshes. How fresh is this?
Questions about BIOS 640 at School of Public Health
- Who teaches BIOS 640 at School of Public Health in Fall 2026?
- Zachary Shahn is listed for Fall 2026. Each name links to a page with their Chill Rank and Rate My Professors numbers.
- Is BIOS 640 at School of Public Health hard?
- We do not have enough Rate My Professors ratings for the professors teaching BIOS 640 yet to say. The Chill Rank appears once a professor has at least 3 ratings.
- What if a BIOS 640 section is full?
- Try another section, join the waitlist in CUNYfirst if there is one, or ask the department. You can also watch a full section and get an email when a seat opens; you still enroll yourself in CUNYfirst.