Professor Chris Drovandi

Profile image of Professor Chris Drovandi

Faculty of Science,
School of Mathematical Sciences


Personal details

Positions

Professor
Faculty of Science,
School of Mathematical Sciences,
School of Mathematical Sciences

Keywords

Approximate Bayesian Computation, Markov chain Monte Carlo, Sequential Monte Carlo, Statistics

Discipline

Statistics

Field of Research code, Australian and New Zealand Standard Research Classification (ANZSRC), 2008

Qualifications

  • PhD(Statistics) (Queensland University of Technology)
  • BAppSc(Statistics) (Queensland University of Technology)
  • BInfTech(SoftwareEng/DataComms) (Queensland University of Technology)

Professional memberships and associations


Teaching

Achievements in Teaching

  • 2021 Director of the AMSI Winter School on Statistical Data Science
  • 2017 AMSI Winter School lecturer by invitation (Queensland University of Technology)
  • 2015 AMSI Summer School lecturer by invitation (University of Newcastle)
  • Nominated for 2015 QUT Vice-Chancellor’s Award for Excellence in Teaching
  • Nominated for 2014 QUT Science and Engineering Faculty Award for Excellence in Postgraduate Research Supervision


Postgraduate Teaching

Advanced Stochastic Modelling

  • Multivariate distributions
  • Classical statistical inference
  • Bayesian statistical inference


Computational Bayesian Statistics

  • Monte Carlo Integration
  • Importance Sampling and Adaptive Importance Sampling
  • Markov chain Monte Carlo
  • Sequential Monte Carlo
  • Approximate Bayesian Computation


Undergraduate Teaching
Current:
Probability and Stochastic Modelling 2

  • Generating Functions
  • Transformation of Random Variables
  • Order Statistics
  • Markov Chains including Simple Random Walks and Branching Processes
  • Continuous Time Markov Chains
  • Brownian Motion


Previous:
Probability and Stochastic Modelling 1

  • Probability
  • Univariate Discrete and Continuous Random Variables
  • Bivariate Discrete Distributions
  • Chi-square Goodness-of-fit
  • Markov Chains
  • Poisson Processes


Aspects of Computational Science

  • Random Number Generation
  • Rejection Sampling
  • Importance Sampling
  • Monte Carlo Integration


Generalised Linear Models

  • Normal regression
  • Poisson and binomial regression
  • Multinomial regression
  • log-linear models
  • R Programming

Publications

QUT ePrints

For more publications by Chris, explore their research in QUT ePrints (our digital repository).

View more publications

Awards

Research projects