Rob Deardon
Associate Professor in the Department of Production Animal Health in the Faculty of Veterinary Medicine and the Department of Mathematics and Statistics in the Faculty of Science at the University of Calgary.

Current Research Interests

1. STATISTICAL MODELING OF INFECTIOUS DISEASE

  • Diseases of humans, animals and plants
  • Spatial systems
  • Network-based systems
  • Measurement error & latent information
  • Robustness to assumptions
  • Computational methodologies (see Bayesian & Computational Statistics below)
  • Study design
  • Model comparison
  • Model adequacy/goodness of fit
  • Disease surveillance models

2. BAYESIAN AND COMPUTATIONAL STATISTICS

  • Markov chain Monte Carlo methods (MCMC)
  • Approximate Bayesian computation (ABC)
  • Gaussian process emulation
  • Machine learning-based approximate inference
  • Importance sampling and sequential Monte Carlo (SMC)

3. ECOLOGICAL AND ENVIRONMENTAL MODELING

  • Spatial and spatiotemporal models (e.g. disease mapping)
  • Invasive species models (e.g. Ash borer, Pine beetle, Giant hogweed)
  • Fire spread models
  • Animal movement models

4. EXPERIMENTAL DESIGN

  • Bayesian experimental design
  • Crop trials (e.g. dealing with inter-plot interference in experiments on crop diseases)
  • Spatial design for experiments used to ascertain infectious disease dynamics
  • Response surface methodology and optimal design

5. STATISTICAL & MACHINE LEARNING

  • Random forests & ensemble methods
  • Networks and deep learning
  • High dimensional model selection (e.g. gene selection)
  • Predictive modelling and classification

6. OTHER TOPICS

  • Bayesian clinical trials
  • Network meta-analyses
  • Discrete choice experiments

 

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Rob Deardon
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University of Calgary »University of Calgary
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pathogen.jl »pathogen.jl
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05 Hidden Markov Individual-level Models of Disease Transmission »05 Hidden Markov Individual-level Models of Disease Transmission
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Surveillance »Surveillance
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