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Teaching & Lecture Notes
Lecture notes
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Monte Carlo methods (0.5 unit MSc level introductory course) [HTML]
Research level tutorials
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Peskun's theorem for MCMC (reading group talk) [HTML]
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Designing MCMC algorithms (reading group talk) [HTML]
Teaching
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In 2020/21 I am teaching STAT0030 (Statistical Computing, MSc Statistics/Data Science)
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In 2019/20 I taught STAT0017 (Selected topics in Statistics) and STAT0030 (Statistical computing), both at the MSc level. For STAT0017 I taught Monte Carlo methods.
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In 2018/19 I taught STAT0021 (Introduction to Statistical Methods) groups B and C, and STAT0030 (Statistical computing).
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In 2017/2018 I lectured G003/M003 (R programming) and taught tutorials for STAT2003/3102 (Stochastic Processes).
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In 2015-2017 I taught tutorials in Linear Algebra, Probability and Statistics at University of Bristol.
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In 2012-2015 I taught tutorials in Probability and Statistics at UCL. For STAT1004 (Intro to Probability & Statistics, now STAT0002), here is a handout which explains why we cannot calculate relative risk in a case-control study, but can still calculate an odds ratio.
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In 2014 I taught a foundational course on Probability and Statistics for students on the MSc in Risk, Disaster and Resilience at UCL.
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