Jack Jewson is a post-doctoral research assistant at UPF and BSE. Before moving to Barcelona, Jewson received his PhD in statistics from the University of Warwick as part of the Oxford-Warwick OxWaSP PhD program for Big Data. He works with Professor David Rossell on the frontier between Bayesian statistics and Machine Learning. His particular interests are in Bayesian methodology for challenging data problems, with specific emphasis on model misspecification, robustness and loss functions.
Publications
Open Access Mark Flecas, Jack Jewson and Beniamino Hadj-Amar
Open Access
Bayesian Approximations to Hidden Semi-Markov Models for Telemetric Monitoring of Physical Activity
Bayesian Analysis, Vol.18, No 2, 547 - 577, June 2023, 10.1214/22-BA1318Open Access
Open Access David Rossell and Jack Jewson
Open Access
General Bayesian loss function selection and the use of improper models
Journal of the Royal Statistical Society. Series B: Statistical Methodology, 1-26, October 2022, 10.1111/rssb.12553Open Access