Syllabus
1. Background 1.1 Stochastic processes and statistics. 1.2 Limit theorems (approximation techniques) . 1.3 Survival theory. 1.4 Methods of multivariate analysis. 1.5 Multiple testing theory 2. Show how stochastic models arise naturally in biology. 2.1 Population growth, epidemics, gene regulatory networks, etc. 2.2 Stochastic (bio) chemical kinetic models. 2.3 Survival and cure modeling. 2.4 Statistical analysis of microarrays.
Annotation
This course is designed to familiarize students with applications of stochastic processes and mathematical statistics in biology, e.g. survival models, testing, etc.