Articles with public access mandates - Andrew B. DuncanLearn more
Not available anywhere: 2
A probabilistic model for quantifying uncertainty in the failure assessment diagram
D Di Francesco, M Girolami, A Duncan, M Chryssanthopoulos
Structural Safety 99, 102262, 2022
Mandates: UK Engineering and Physical Sciences Research Council, UK Research & Innovation
Quantitative schlieren using gaussian processes
BN Ubald, P Seshadri, A Duncan
AIAA Scitech 2021 Forum, 0827, 2021
Mandates: UK Research & Innovation
Available somewhere: 41
Variance reduction using nonreversible Langevin samplers
AB Duncan, T Lelievre, GA Pavliotis
Journal of statistical physics 163, 457-491, 2016
Mandates: UK Engineering and Physical Sciences Research Council, European Commission
Measuring sample quality with diffusions
J Gorham, AB Duncan, SJ Vollmer, L Mackey
The Annals of Applied Probability 29 (5), 2884-2928, 2019
Mandates: US National Science Foundation, UK Engineering and Physical Sciences …
On the geometry of Stein variational gradient descent
AB Duncan, N Nüsken, L Szpruch
Journal of Machine Learning Research 24, 1-39, 2023
Mandates: German Research Foundation, UK Engineering and Physical Sciences Research …
Minimum stein discrepancy estimators
A Barp, FX Briol, A Duncan, M Girolami, L Mackey
Advances in Neural Information Processing Systems 32, 2019
Mandates: UK Engineering and Physical Sciences Research Council, UK Research & Innovation
Noise-induced multistability in chemical systems: Discrete versus continuum modeling
A Duncan, S Liao, T Vejchodský, R Erban, R Grima
Physical Review E 91 (4), 042111, 2015
Mandates: European Commission
Piecewise deterministic Markov processes for scalable Monte Carlo on restricted domains
J Bierkens, A Bouchard-Côté, A Doucet, AB Duncan, P Fearnhead, ...
Statistics & Probability Letters 136, 148-154, 2018
Mandates: UK Engineering and Physical Sciences Research Council
A kernel two-sample test for functional data
G Wynne, AB Duncan
Journal of Machine Learning Research 23 (73), 1-51, 2022
Mandates: UK Engineering and Physical Sciences Research Council
Hybrid framework for the simulation of stochastic chemical kinetics
A Duncan, R Erban, K Zygalakis
Journal of Computational Physics 326, 398-419, 2016
Mandates: UK Engineering and Physical Sciences Research Council
The association between mechanical ventilator compatible bed occupancy and mortality risk in intensive care patients with COVID-19: a national retrospective cohort study
H Wilde, T Mellan, I Hawryluk, JM Dennis, S Denaxas, C Pagel, A Duncan, ...
BMC medicine 19, 1-12, 2021
Mandates: Bill & Melinda Gates Foundation, UK Engineering and Physical Sciences …
Hospital bed capacity and usage across secondary healthcare providers in England during the first wave of the COVID-19 pandemic: a descriptive analysis
BA Mateen, H Wilde, JM Dennis, A Duncan, N Thomas, A McGovern, ...
BMJ open 11 (1), e042945, 2021
Mandates: UK Engineering and Physical Sciences Research Council, UK Medical Research …
Using perturbed underdamped Langevin dynamics to efficiently sample from probability distributions
AB Duncan, N Nüsken, GA Pavliotis
Journal of Statistical Physics 169, 1098-1131, 2017
Mandates: UK Engineering and Physical Sciences Research Council
Limit theorems for the zig-zag process
J Bierkens, A Duncan
Advances in Applied Probability 49 (3), 791-825, 2017
Mandates: UK Engineering and Physical Sciences Research Council
Hierarchical Bayesian modeling for knowledge transfer across engineering fleets via multitask learning
LA Bull, D Di Francesco, M Dhada, O Steinert, T Lindgren, AK Parlikad, ...
Computer‐Aided Civil and Infrastructure Engineering 38 (7), 821-848, 2023
Mandates: UK Engineering and Physical Sciences Research Council, UK Research & Innovation
Ensemble inference methods for models with noisy and expensive likelihoods
ORA Dunbar, AB Duncan, AM Stuart, MT Wolfram
SIAM Journal on Applied Dynamical Systems 21 (2), 1539-1572, 2022
Mandates: US National Science Foundation, US Department of Defense, UK Engineering and …
Physics-constrained Bayesian inference of state functions in classical density-functional theory
P Yatsyshin, S Kalliadasis, AB Duncan
The Journal of Chemical Physics 156 (7), 2022
Mandates: UK Engineering and Physical Sciences Research Council, European Commission …
Scalable Control Variates for Monte Carlo Methods via Stochastic Optimization
S Si, C Oates, AB Duncan, L Carin, FX Briol
arXiv preprint arXiv:2006.07487, 2020
Mandates: UK Engineering and Physical Sciences Research Council
Bayesian assessments of aeroengine performance with transfer learning
P Seshadri, AB Duncan, G Thorne, G Parks, RV Diaz, M Girolami
Data-Centric Engineering 3, e29, 2022
Mandates: UK Research & Innovation
Noise-induced transitions in rugged energy landscapes
AB Duncan, S Kalliadasis, GA Pavliotis, M Pradas
Physical Review E 94 (3), 032107, 2016
Mandates: UK Engineering and Physical Sciences Research Council, European Commission
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