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Name: |
Professor G O Roberts |
Organisation: |
University of Warwick |
Department: |
Statistics |
Current EPSRC-Supported Research
Topics: |
Algebra & Geometry
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Mathematical Analysis
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Statistics & Appl. Probability
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Current EPSRC Support |
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) |
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Previous EPSRC Support |
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) |
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Key: (P)=Principal Investigator, (C)=Co-Investigator, (R)=Researcher Co-Investigator
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