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Late posting
Course Lecturer (BIOS 691) Winter 2026
BIOS 691 Special Topics in Biostatistics (4 credits)
Winter 2026
BIOS 691: The aim of this course is to provide researchers with an introduction to practical Bayesian methods. Topics will include Bayesian philosophy, simple univariate models, linear and logistic regression, hierarchical models and Bayesian nonparametrics. Numerical techniques including Monte Carlo integration, sampling importance resampling (SIR), the Gibbs sampler and the Metropolis-Hastings will be covered, including programming in R, JAGS, Nimble, RStan and INLA.
Location: MC2001, 1201
Schedule: Tuesday 2:35-3:55, Thursday, 4:05-4:55
Credits: 4
Teaching Qualification Requirements:
Education: MSc (or higher) in Biostatistics or Statistics
Experience: Experience in Bayesian inference, Markov chain Monte Carlo Methods, Variational inference; knowledge of the softwares Nimble and Stan. Prior teaching experience in Biostatistics or Statistics.
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This posting will expire at 00:00 am the day of the deadline to apply. You have until midnight the day before the deadline to apply to submit your application.
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