Articles with public access mandates - Lawrence MurrayLearn more
Available somewhere: 12
Parallel resampling in the particle filter
LM Murray, A Lee, PE Jacob
Journal of Computational and Graphical Statistics 25 (3), 789-805, 2016
Mandates: UK Engineering and Physical Sciences Research Council
Comparative analysis of dengue and Zika outbreaks reveals differences by setting and virus
S Funk, AJ Kucharski, A Camacho, RM Eggo, L Yakob, LM Murray, ...
PLoS Neglected Tropical Diseases 10 (12), e0005173, 2016
Mandates: UK Medical Research Council, European Commission
Delayed Sampling and Automatic Rao-Blackwellization of Probabilistic Programs
LM Murray, D Lundén, J Kudlicka, D Broman, TB Schön
Proceedings of Machine Learning Research (AIStats) 84, 1037--1046, 2018
Mandates: Swedish Research Council
Universal probabilistic programming offers a powerful approach to statistical phylogenetics
F Ronquist, J Kudlicka, V Senderov, J Borgström, N Lartillot, D Lundén, ...
Communications biology 4 (1), 244, 2021
Mandates: Swedish Research Council, European Commission
Probabilistic learning of nonlinear dynamical systems using sequential Monte Carlo
TB Schön, A Svensson, L Murray, F Lindsten
Mechanical systems and signal processing 104, 866-883, 2018
Mandates: Swedish Research Council
Parameter elimination in particle Gibbs sampling
A Wigren, RS Risuleo, L Murray, F Lindsten
Advances in Neural Information Processing Systems 32, 2019
Mandates: Knut and Alice Wallenberg Foundation, Swedish Research Council
Improving the particle filter in high dimensions using conjugate artificial process noise
A Wigren, L Murray, F Lindsten
IFAC-PapersOnLine 51 (15), 670-675, 2018
Mandates: Swedish Research Council
Probabilistic programming for birth-death models of evolution using an alive particle filter with delayed sampling
J Kudlicka, LM Murray, F Ronquist, TB Schön
Uncertainty in Artificial Intelligence, 679-689, 2020
Mandates: Swedish Research Council
Anytime monte carlo
LM Murray, SS Singh, A Lee
Data-Centric Engineering 2, e7, 2021
Mandates: UK Engineering and Physical Sciences Research Council
Past, Present and Future of Software for Bayesian Inference
E Štrumbelj, A Bouchard-Côté, J Corander, A Gelman, H Rue, L Murray, ...
Statistical Science 39 (1), 46-61, 2024
Mandates: Slovenian Research Agency
Particle filter with rejection control and unbiased estimator of the marginal likelihood
J Kudlicka, LM Murray, TB Schön, F Lindsten
ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020
Mandates: Swedish Research Council
Anytime parallel tempering
A Marie d’Avigneau, SS Singh, LM Murray
Statistics and Computing 31, 1-23, 2021
Mandates: UK Engineering and Physical Sciences Research Council
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