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Researcher Details
 
Name: Professor G O Roberts
Organisation: University of Warwick
Department: Statistics
Current EPSRC-Supported Research Topics:
Artificial Intelligence Mathematical Analysis
Statistics & Appl. Probability

Current EPSRC Support
EP/Y028783/1 ProbAI: A Hub for the Mathematical and Computational Foundations of Probabilistic AI(C)
EP/X028119/1 Pooling INference and COmbining Distributions Exactly: A Bayesian approach (PINCODE)(P)
EP/V009478/1 DMS-EPSRC: Fast martingales, large deviations and randomised gradients for heavy-tailed target distributions(C)
EP/R034710/1 CoSInES (COmputational Statistical INference for Engineering and Security)(P)
EP/R018561/1 New Approaches to Bayesian Data Science: Tackling Challenges from the Health Sciences(C)
Previous EPSRC Support
EP/W011840/1 COVID-19: Bayesian inference for high resolution stochastic modelling for the UK(C)
EP/K034154/1 Enabling Quantification of Uncertainty for Large-Scale Inverse Problems (EQUIP)(C)
EP/K014463/1 Intractable Likelihood: New Challenges from Modern Applications (ILike)(P)
EP/G026521/1 Inference for Diffusions and Related Processes(P)
EP/F032323/1 Warwick Symposium 2008/9 - Challenges in Scientific Computing(C)
EP/D505607/2 Langevin Algorithms : Questions at the Numerical Analysis / Applied Probability Interface(P)
EP/E502024/1 Academy for PhD Training in Statistics (APTS)(C)
EP/D505607/1 Langevin Algorithms : Questions at the Numerical Analysis / Applied Probability Interface(P)
EP/D002060/1 The Centre for Research in Statistical Methodology (CRISM)(P)
GR/T19698/01 Perfect & direct simulation for missing data problems(P)
GR/S61577/01 Bayesian inference for discretely observed continuous-time processes(P)
GR/S61584/01 Bayesian inference for discretely observed continuous-time processes(C)
GR/S61584/01 Bayesian inference for discretely observed continuous-time processes(R)
GR/M62723/01 MARKOV CHAIN MONTE CARLO METHODS FOR STOCHASTIC EPIDEMIC MODELS(P)
GR/L03613/01 RATES OF CONVERGENCE IN MARKOV CHAIN MONTE CARLO(P)
GR/K42516/01 APPLICATION OF SHIFT COUPLING INEQUALITIES TO RATES OF CONVERGENCE IN MCMC(P)
GR/J19900/01 CONVERGENCE AND ADAPTIVE METHODS IN MARKOV CHAIN MONTE CARLO(P)
Key: (P)=Principal Investigator, (C)=Co-Investigator, (R)=Researcher Co-Investigator