Optimising cargo loading and ship scheduling in tidal areas. - Noémie Le Carrer; Scott Ferson; Peter L. Green (Eur. J. Oper. Res., 2020)

Ensemble Kalman filter based sequential Monte Carlo sampler for sequential Bayesian inference. - Jiangqi Wu; Linjie Wen; Peter L. Green; Jinglai Li; Simon Maskell (Stat. Comput., 2022)

Distributed Gaussian Processes With Uncertain Inputs. - Peter L. Green (IEEE Access, 2024)

Bayesian Calibration to Address the Challenge of Antimicrobial Resistance: A Review. - Conor Rosato; Peter L. Green; John Harris; Simon Maskell; William Hope; Alessandro Gerada; Alex Howard (IEEE Access, 2024)

The No-U-Turn Sampler as a Proposal Distribution in a Sequential Monte Carlo Sampler Without Accept/Reject. - Lee Devlin; Matthew Carter; Paul R. Horridge; Peter L. Green; Simon Maskell (IEEE Signal Process. Lett., 2024)

Predicting product quality in continuous manufacturing processes using a scalable robust Gaussian Process approach. - Diego Echeverria-Rios; Peter L. Green (Eng. Appl. Artif. Intell., 2024)