Statistical Inference for Bioinformatics Credit Hours: 3 hours Concepts of statistical inference for students in the life sciences, including maximum likelihood, Bayesian inference, and stochastic modelling. The course focuses on Hidden Markov models, continuous time Markov chain (Poisson process, birth and death process, coalescent process), and their applications in modeling biological data. These topics will be mixed with applications of the statistical concepts to biological data. Emphasizes computer simulation over mathematical manipulation. Prerequisites: STAT 6220 or STAT 6315 or BINF 8441 Semester Offered: Fall Level: Graduate
