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Matthew M. Graham
Matthew M. Graham
Research data scientist, University College London
Bestätigte E-Mail-Adresse bei ucl.ac.uk - Startseite
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Zitiert von
Zitiert von
Jahr
Theano: A Python framework for fast computation of mathematical expressions
R Al-Rfou, G Alain, A Almahairi, C Angermueller, D Bahdanau, N Ballas, ...
arXiv preprint arXiv:1605.02688, 2016
9912016
Pseudo-marginal slice sampling
I Murray, MM Graham
Proceedings of the 19th International Conference on Artificial Intelligence …, 2016
472016
Continuously tempered Hamiltonian Monte Carlo
MM Graham, AJ Storkey
Proceedings of the 33rd Conference on Uncertainty in Artificial Intelligence, 2017
392017
Asymptotically exact inference in differentiable generative models
M Graham, A Storkey
Artificial Intelligence and Statistics, 499-508, 2017
382017
Asymptotically exact inference in differentiable generative models
MM Graham, AJ Storkey
Electronic Journal of Statistics 11 (2), 5105-5164, 2017
382017
Manifold Markov chain Monte Carlo methods for Bayesian inference in diffusion models
M Graham, A Thiery, A Beskos
Journal of the Royal Statistical Society Series B: Statistical Methodology, 2022
25*2022
Measure transport with kernel Stein discrepancy
MA Fisher, T Nolan, M Graham, D Prangle, C Oates
International Conference on Artificial Intelligence and Statistics, 1054-1062, 2021
202021
Testing whether a learning procedure is calibrated
J Cockayne, MM Graham, CJ Oates, TJ Sullivan, O Teymur
Journal of Machine Learning Research 23 (203), 1-36, 2022
142022
Manifold lifting: scaling Markov chain Monte Carlo to the vanishing noise regime
KX Au, MM Graham, AH Thiery
Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2023
12*2023
Estimating the health burden of road traffic injuries in Malawi using an individual-based model
R Manning Smith, V Cambiano, T Colbourn, JH Collins, M Graham, ...
Injury epidemiology 9 (1), 21, 2022
82022
Parameter estimation with increased precision for elliptic and hypo-elliptic diffusions
Y Iguchi, A Beskos, M Graham
Bernoulli 31 (1), 333-358, 2025
62025
A scalable optimal-transport based local particle filter
MM Graham, AH Thiery
arXiv preprint arXiv:1906.00507, 2019
62019
The Thanzi la onse model
T Hallett, A Phillips, A Tamuri, T Colbourn, J Collins, I Hawryluk, B Jewell, ...
doi, 2023
52023
The effects of health system frailties on the projected impact of the HIV and TB programmes in Malawi
TD Mangal, S Mohan, T Colbourn, JH Collins, MM Graham, A Jahn, ...
52023
Factors associated with consumable Stock-Outs in Malawi: evidence from a facility census
S Mohan, TD Mangal, G Kadewere, C Chimwaza, T Colbourn, JH Collins, ...
52023
Health workforce needs in Malawi: analysis of the Thanzi La Onse integrated epidemiological model of care
B She, TD Mangal, ML Prust, S Heung, M Chalkley, T Colbourn, ...
Human Resources for Health 22 (1), 66, 2024
42024
A Healthcare Service Delivery and Epidemiological Model for Investigating Resource Allocation for Health: The Thanzi La Onse Model
TB Hallett, TD Mangal, AU Tamuri, N Arinaminpathy, V Cambiano, ...
medRxiv, 2024.01. 04.24300834, 2024
42024
Parameter inference for degenerate diffusion processes
Y Iguchi, A Beskos, MM Graham
Stochastic Processes and their Applications 174, 104384, 2024
32024
Factors associated with medical consumable availability in level 1 facilities in Malawi: a secondary analysis of a facility census
S Mohan, TD Mangal, T Colbourn, M Chalkley, C Chimwaza, JH Collins, ...
The Lancet Global Health 12 (6), e1027-e1037, 2024
32024
Modeling Contraception and Pregnancy in Malawi: A Thanzi La Onse Mathematical Modeling Study
T Colbourn, E Janoušková, I Li Lin, J Collins, E Connolly, M Graham, ...
Studies in family planning 54 (4), 585-607, 2023
32023
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