STAT 31900: Bayesian Stat: Inference Sci at Hunter College
3 credits · Fall 2026
Bayesian Stat: Inference Sci (STAT 31900) at Hunter College has 1 way to take it in Fall 2026. 1 of 1 section has an open seat right now.
The professor is: Saadeddine Mneimneh.
Compare them below, check the days and times, and add the course to your schedule.
Requirements
Prerequisite: MATH 15500 or STAT 21200 or STAT 21300 or STAT 21350 or STAT 21400 or STAT 31100.
About this course
Fundamental principles and techniques of probability, statistical inference and data analysis, as pertains to the sciences, especially bioinformatics. Random variables and their distributions. Central limit theorem. Conditional probability, Markov chains and Hidden Markov Models. Bayesian statistical paradigm and inference using Markov chain Monte Carlo. Computer simulations and data analysis.
Professors for STAT 31900 at Hunter, Fall 2026
- Saadeddine MneimnehChill Rank 5 of 5: Brutal?
1 section · 1 open · ★ 3.4 (128) · difficulty 4.4/5 · 57% would take again
Ordered chillest first. A Chill Rank compares a professor with other CUNY professors on Rate My Professors difficulty, rating and would-take-again; it needs at least 3 ratings. How it works
STAT 31900 sections, times and seats
Seat status as of Oct 4, 5:59 PM ET. Seats can change between refreshes. How fresh is this?
Chill Rank compares professors using Rate My Professors reviews, from Chill to Brutal. What each rank means
Questions about STAT 31900 at Hunter
- Who teaches STAT 31900 at Hunter in Fall 2026?
- Saadeddine Mneimneh is listed for Fall 2026. Each name links to a page with their Chill Rank and Rate My Professors numbers.
- Is STAT 31900 at Hunter hard?
- It depends on the professor. Across the 1 professor with a Chill Rank, students on Rate My Professors give an average difficulty of 4.4 out of 5. The Chill Rank above compares them directly.
- What if a STAT 31900 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.