생물학자를 위한 베이지안 통계학

Introduction to the philosophy of Bayesian inference; practical experience applying to biological data. Model formulation, identification of appropriate priors and resulting posteriors given priors and data, and the practice of drawing inferences from these posteriors.

• Prerequisite(s): An advanced course in applied biostatistics (e.g. BIOL 5407 ) or permission of the Department and good standing in a Carleton University Biology or Biochemistry Graduate Program.