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Researcher Details
 
Name: Professor P Fearnhead
Organisation: Lancaster University
Department: Mathematics and Statistics
Current EPSRC-Supported Research Topics:
Artificial Intelligence Statistics & Appl. Probability

Current EPSRC Support
EP/Z531327/1 Statistical Foundations for Detecting Anomalous Structure in Stream Settings (DASS)(C)
EP/Y028783/1 ProbAI: A Hub for the Mathematical and Computational Foundations of Probabilistic AI(P)
Previous EPSRC Support
EP/V053590/1 Was that change real? Quantifying uncertainty for change points(P)
EP/R034710/1 CoSInES (COmputational Statistical INference for Engineering and Security)(C)
EP/R018561/1 New Approaches to Bayesian Data Science: Tackling Challenges from the Health Sciences(P)
EP/N031938/1 StatScale: Statistical Scalability for Streaming Data(C)
EP/K014463/1 Intractable Likelihood: New Challenges from Modern Applications (ILike)(C)
EP/J500896/1 Academy for PhD Training in Statistics (APTS) - Follow on Funding(C)
EP/G028745/1 Inference for Diffusions and Related Processes(P)
EP/P504708/1 DTA - Lancaster University(C)
EP/P50256X/1 DTA - Lancaster University(C)
EP/P501482/1 DTA - Lancaster University(C)
EP/C531558/1 Analysis of Spatial-Temporal Genetic Data(P)
GR/T19698/01 Perfect & direct simulation for missing data problems(C)
EP/P500303/1 DTA - Lancaster University(C)
GR/S18786/01 Variational-based methods for inference in population genetics(P)
GR/P02974/01 DTA - Lancaster University(C)
GR/P01274/01 DTA - Lancaster University(C)
GR/R91724/01 Model Choice and Robustness in Population genetics(P)
GR/P00567/01 DTA - Lancaster University(C)
Key: (P)=Principal Investigator, (C)=Co-Investigator, (R)=Researcher Co-Investigator