Dr Arthur P. Guillaumin

Arthur P. Guillaumin

Lecturer in Mathematical Data Science

School of Mathematical Sciences
Queen Mary University of London
LinkedIn

Research

random fields, quasi likelihood, time series, probabilistic neural networks, whittle likelihood

Publications

solid heart iconPublications of specific relevance to the Centre for Probability, Statistics and Data Science

2022

Relevant PublicationGuillaumin A, Sykulski AM, Olhede SC and Simons FJ (2022). The Debiased Spatial Whittle Likelihood. Journal of the Royal Statistical Society: Series B, Royal Statistical Society 
20-07-2022

2021

Relevant PublicationGuillaumin AP and Zanna L (2021). Stochastic‐Deep Learning Parameterization of Ocean Momentum Forcing. Journal of Advances in Modeling Earth Systems, American Geophysical Union (AGU) vol. 13 (9) 
01-09-2021

2019

Relevant PublicationSykulski AM, Olhede SC, Guillaumin AP, Lilly JM and Early JJ (2019). The debiased Whittle likelihood. Biometrika, Oxford University Press (OUP) vol. 106 (2), 251-266.  
13-02-2019

2017

Relevant PublicationGuillaumin AP, Sykulski AM, Olhede SC, Early JJ and Lilly JM (2017). Analysis of Non‐Stationary Modulated Time Series with Applications to Oceanographic Surface Flow Measurements. Journal of Time Series Analysis, Wiley vol. 38 (5), 668-710.  
26-07-2017