STAT 31900
Bayesian Stat: Inference Sci · 3 credits · Spring 2027
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.
Seat status as of Oct 2, 10:25 AM ET. Seats can change between refreshes.
No sections have been posted for this course in this term yet.