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Filippo Pagani

MRC Biostatistics Unit · GB
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Area of research
Statistics and Probability · Artificial Intelligence
Research interest
Research interests include Markov Chains and Monte Carlo Methods, Bayesian Methods and Mixture Models, Statistical Methods and Inference, and Gaussian Processes and Bayesian Inference.
h-index
7
citations
252
works
16
NIH funding
primary concept
Markov chain Monte Carlo
email

Recent publications

EpiBeds: Data informed modelling of the COVID-19 hospital burden in England
PLoS Computational Biology 2022cited by 23position: middledoi
Short-term forecasts to inform the response to the Covid-19 epidemic in the UK
medRxiv 2020cited by 43position: middledoi

Grants

No grants ingested yet.

Frequent collaborators

Katrina Lythgoe · Open Data Institute1 papers (2022–2022)Lorenzo Pellis · London School of Hygiene & Tropical Medicine1 papers (2022–2022)Anel Nurtay · University of Oxford1 papers (2022–2022)Christophe Fraser · The George Institute for Global Health1 papers (2022–2022) · 1 papers (2022–2022)Thomas House · University of Manchester1 papers (2022–2022)Christopher E. Overton · University of Leicester1 papers (2022–2022)Ian Hall · UK Health Security Agency1 papers (2022–2022)Francesca Scarabel · University of Manchester1 papers (2022–2022)Chris Jewell · University of Maryland, College Park1 papers (2022–2022)
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