Tom Edinburgh

发表

Bayesian model selection for multilevel models using marginal likelihoods

S. Eglen, A. Ercole, Tom Edinburgh, 2022 .

Bayesian model selection for multilevel models using marginal likelihoods

S. Eglen, A. Ercole, Tom Edinburgh, 2022, 2207.02144.

DeepClean -- self-supervised artefact rejection for intensive care waveform data using deep generative learning

S. Eglen, P. Smielewski, A. Ercole, 2019, 1908.03129.

Bayesian model selection for multilevel models using integrated likelihoods

S. Eglen, A. Ercole, Tom Edinburgh, 2022, PloS one.

meaRtools: An R package for the analysis of neuronal networks recorded on microelectrode arrays

Quanli Wang, Ellese Cotterill, Stephen J Eglen, 2018, bioRxiv.

DeepClean - self-supervised artefact rejection for intensive care waveform data using generative deep learning pdf

Stephen J. Eglen, Ari Ercole, Marek Czosnyka, 2019, ArXiv.

Causality indices for bivariate time series data: A comparative review of performance.

S. Eglen, A. Ercole, Tom Edinburgh, 2021, Chaos.

Estimating the extent of Antarctic summer sea ice during the Heroic Age of Exploration

J. Day, Tom Edinburgh, Tom Edinburgh, 2016 .

Sepsis-3 criteria in AmsterdamUMCdb: open-source code implementation

S. Eglen, A. Ercole, P. Thoral, 2022, GigaByte.

Estimating the extent of Antarctic summer sea ice during the Heroic Age of Antarctic Exploration

J. Day, Tom Edinburgh, Tom Edinburgh, 2016 .

DeepClean: Self-Supervised Artefact Rejection for Intensive Care Waveform Data Using Deep Generative Learning.

S. Eglen, P. Smielewski, M. Cabeleira, 2021, Acta neurochirurgica. Supplement.