Inference under discrepancy, Subjective Bayes workshop, Open University, September 2017.
Another Introduction to Gaussian Processes, Gaussian process summer school, Sheffield, September 2017. The R code for the kernel regression example is available here
50 ways with GPs, Past Earth Network Emulator Workshop, University of Leeds, June 2017. Alan Saul and I also gave 5 hours of lab sessions on how to use GPy. There are available on github. The accompanying slides are available here
Approximate Bayesian computation: likelihood-free inference for complex models, Quantifying uncertainty in multiscale models for biomedical applications workshop, University of Sheffield, April 2017.
Gaussian process accelerated ABC, departmental seminar, Medical School, University of Lancaster, December 2016.
The ML invasion of ABC, Schloss Dagstuhl seminar New Directions for Learning with Kernels and Gaussian Processes, Leibniz Center for Informatics, Germany, November 2016.
Uncertainty quantification for complex simulators using emulation, invited seminar, British Antarctic Survey, Cambridge, October 2016.
Gaussian process accelerated ABC, invited seminar, Gatsby Computational Neurscience Unit, UCL, London, September 2016.
Introduction to ABC, GP and UQ Summer School, University of Sheffield, September 2016.
Surrogate modelling and ABC, invited talk, ABC in Helsinki meeting, middle of the Baltic Sea, May 2016.
Design for Calibration and History Matching for Complex Simulators, invited talk, mini-symposium on Sequential Design of Computer Experiments, SIAM UQ, Lausanne, April 2016.
Using surrogate models to accelerate parameter estimation for complex simulators, Laboratoire de Recherche en informatique (LRI), Paris, March 2016.
Design for ABC and history matching with Gaussian processes, Biostatistics Unit, MRC, Cambridge, March 2016.
Using surrogate models to accelerate parameter estimation for complex simulators, departmental seminar, Maths Dept, University of Manchester, February 2016.
Modern Computational Statistics, invited talk, Statistics for Climate PIs, Royal Statistical Society, London, 2015.
Inference for complex models, small talk to Physics research group, Sheffield, 2015.
ABC and history matching with GPs, invited talk, Gaussian process summer school, Sheffield, 2015.
What drives the glacial-interglacial cycle? A Bayesian approach, invited talk, Royal Statistical Society Annual Conference, Exeter, 2015.
What drives the glacial-interglacial cycle? A Bayesian approach to a long-standing model selection problem, contributed talk, Past Earth Network Conference, Crewe, 2015.
Efficient history matching and calibration of complex simulators using Bayesian optimization, invited talk, minisymposium on Uncertainty Quantification, International Congress on Industrial and Applied Mathematics, Beijing, 2015.
Inference for complex models, interview talk, University of Sheffield, 2015.
GP-ABC: accelerating inference for intractable stochastic computer models, Invited Speaker, MascotNum 2015, Ecole des Mines, Saint Etienne, France, 2015.
What drives the glacial-interglacial cycle? A Bayesian approach to a long-standing model selection problem, Departmental Seminar, Maths dept, University of Glasgow, November 2014.
Approximate Bayesian computation (ABC) and the challenge of big simulation, keynote lecture, NeuroStats2014: Statistical Challenges in Neuroscience. University of Warwick, September 2014.
What drives the glacial-interglacial cycle? A Bayesian approach to a long-standing model selection problem, Advances in Climate Theory Workshop, Royal Institute of Meteorology, Brussels, Belgium, August 2014.
What drives the glacial-interglacial cycle? A Bayesian approach to a long-standing model selection problem, ISBA, Cancun, July 2014.
Statistical challenges and solutions in Equation of State modelling, Nottingham NEST workshop, Nottingham, May 2014.
Emulating computer simulators with high dimensional input and output, PANACEA team meeting, Statoil, Trondheim, Norway, March 2014.
Statistical applications of Gaussian processes, Gaussian process winter school, Sheffield Institute of Translational Neuroscience, January 2014.
Probabilistic ABC: accelerating ABC using Gaussian processes, seminar, Robotics Research Group, Department of Engineering Science, University of Oxford, August 2013.
Gaussian processes for uncertainty quantification in computer experiments, lecture, Summer School on Gaussian Processes, Sheffield Institute for Translational Neuroscience, June 2013.
Accelerating ABC using emulation and history-matching, seminar, Statistical Sciences Research Institute (S3RI), University of Southampton, April 2013.
ABC, history matching, and emulation, seminar, School of Mathematics, University of Durham, November 2012.
A modelling approach to ABC, seminar, School of Mathematics, University of Leeds, September 2012.
Diagnostic plots for dynamical systems, contributed talk, Uncertainty in Computer Modelling conference, Sheffield, June 2012.
A modelling approach to ABC, contributed talk, SuSTain workshop on Intractability, Bristol, April 2012.
Alternative approaches to approximate Bayesian computation (ABC): what and why, seminar, Dept. of Statistics, University of Oxford, January 2012.
The A to Z of ABC, seminar, Approximate Inference Workshop, University of Sheffield, January 2012.
Calibrating computer simulators using ABC: An example from evolutionary biology,seminar, Maths Department, Exeter University, March 2011.
Calibrating the UVic climate model using global carbon cycle observation, seminar, Field Sciences Department, Open University, January 2011.
Calibrating and emulating multivariate computer models, seminar, Centre de recherche sur la Terre et le climat, Universit'e catholique de Louvain, January 2011.
Exploring the Error in ABC algorithms, AMSTAT seminar (applied maths and statistics), University of Warwick, seminar, November 2010.
ABC and the challenge of model calibration, Isaac Newton Institute, seminar, September 2010.
Analise Estatistica de Simuladores, 18th SINAPE - Simposio Nacional de Probabilidade e Estatistica, Brazilian national statistics conference, Sao Pedro, short course on computer experiments, July 2010.
Analise Estatistica de Simuladores: Learning from computer experiments, Universidade de Bras'ilia, Brazil, seminar, July 2010.
Learning Model Error in Dynamic Models, Uncertainty in Computer Models conference, Sheffield, contributed talk, July 2010.
Learning model error in dynamical systems, Royal Meteorological Society Workshop on Model Error, invited talk, Met Office, Exeter April 2010.