STAT MTHDS/COMPUTATIONAL BIOLG

STA 613

Methods of statistical inference and stochastic modeling with application to functional genomics and computational molecular biology. Topics include: statistical theory underlying sequence analysis and database searching; Markov models; elements of Bayesian and likelihood inference; multivariate high-dimensional regression models, applied linear regress analysis; discrete data models; multivariate data decomposition methods (PCA, clustering, multi-dimensional scaling); software tools for statistical computing. Instructor: Mukherjee or Schmidler

Day / Time: 

F 08:45 AM-12:00 PM

Location: 

Perkins 060

Instructor: 

Ma, Li

Section: 

01