Learning Structural Equation Models for fMRI. - Amos J. Storkey; Enrico Simonotto; Heather Whalley; Stephen M. Lawrie; Lawrence Murray; David J. McGonigle (NIPS, 2006)

Continuous Time Particle Filtering for fMRI. - Lawrence Murray; Amos J. Storkey (NIPS, 2007)

High-Performance Pseudo-Random Number Generation on Graphics Processing Units. - Nimalan Nandapalan; Richard P. Brent; Lawrence M. Murray; Alistair P. Rendell (PPAM (1), 2011)

Applications of Heterogeneous Computing in Computational and Simulation Science. - Luke Domanski; Tomasz Bednarz; Tim E. Gureyev; Lawrence Murray; Bevan Emma Huang; John A. Taylor (UCC, 2011)

Particle Smoothing in Continuous Time: A Fast Approach via Density Estimation. - Lawrence Murray; Amos J. Storkey (IEEE Trans. Signal Process., 2011)

GPU acceleration of the particle filter: the Metropolis resampler - Lawrence Murray (CoRR, 2012)

GPU Acceleration of Runge-Kutta Integrators. - Lawrence Murray (IEEE Trans. Parallel Distributed Syst., 2012)

Rethinking resampling in the particle filter on graphics processing units - Lawrence M. Murray; Anthony Lee; Pierre E. Jacob (CoRR, 2013)

Applications of heterogeneous computing in computational and simulation science. - Luke Domanski; Tomasz Bednarz; Timur Gureyev; Lawrence Murray; Bevan Emma Huang; Yakov Nesterets; Darren Thompson; Emlyn Jones; Colin Cavanagh; Dadong Wang; Pascal Vallotton; Changming Sun; et al. (Int. J. Comput. Sci. Eng., 2013)

On Disturbance State-Space Models and the Particle Marginal Metropolis-Hastings Sampler. - Lawrence M. Murray; Emlyn M. Jones; John S. Parslow (SIAM/ASA J. Uncertain. Quantification, 2013)

Sequential Monte Carlo with Highly Informative Observations. - Pierre Del Moral; Lawrence M. Murray (SIAM/ASA J. Uncertain. Quantification, 2015)

Path storage in the particle filter. - Pierre E. Jacob; Lawrence M. Murray; Sylvain Rubenthaler (Stat. Comput., 2015)

PRETSL: Distributed Probabilistic Rule Evolution for Time-Series Classification. - Babak Hodjat; Hormoz Shahrzad; Risto Miikkulainen; Lawrence Murray; Chris C. Holmes (GPTP, 2016)

A qualitative analysis to optimize a telemonitoring intervention for heart failure patients from disparity communities. - Renee Pekmezaris; Rebecca M. Schwartz; Tonya N. Taylor; Paola DiMarzio; Christian N. Nouryan; Lawrence Murray; Gary McKenzie; Deborah Ahern; Stacy Castillo; Kathleen Pecinka; Lorinda Bauer; Tito Orona; et al. (BMC Medical Informatics Decis. Mak., 2016)

Probabilistic learning of nonlinear dynamical systems using sequential Monte Carlo. - Thomas B. Schön; Andreas Svensson; Lawrence M. Murray; Fredrik Lindsten (CoRR, 2017)

Delayed Sampling and Automatic Rao-Blackwellization of Probabilistic Programs. - Lawrence M. Murray; Daniel Lundén; Jan Kudlicka; David Broman; Thomas B. Schön (AISTATS, 2018)

Automated learning with a probabilistic programming language: Birch. - Lawrence M. Murray; Thomas B. Schön (Annu. Rev. Control., 2018)

Automatic Alignment of Sequential Monte Carlo Inference in Higher-Order Probabilistic Programs. - Daniel Lundén; David Broman; Fredrik Ronquist; Lawrence M. Murray (CoRR, 2018)

Parameter elimination in particle Gibbs sampling. - Anna Wigren; Riccardo Sven Risuleo; Lawrence Murray; Fredrik Lindsten (NeurIPS, 2019)

Probabilistic Programming for Birth-Death Models of Evolution Using an Alive Particle Filter with Delayed Sampling. - Jan Kudlicka; Lawrence M. Murray; Fredrik Ronquist; Thomas B. Schön (UAI, 2019)

Particle Filter with Rejection Control and Unbiased Estimator of the Marginal Likelihood. - Jan Kudlicka; Lawrence M. Murray; Thomas B. Schön; Fredrik Lindsten (ICASSP, 2020)

Lazy object copy as a platform for population-based probabilistic programming. - Lawrence M. Murray (CoRR, 2020)

Adapting a home telemonitoring intervention for underserved Hispanic/Latino patients with type 2 diabetes: an acceptability and feasibility study. - Renee Pekmezaris; Myia S. Williams; Briana Pascarelli; Kayla Finuf; Yael T. Harris; Alyson K. Myers; Tonya N. Taylor; Myriam Kline; Vidhi H. Patel; Lawrence M. Murray; Samy I. McFarlane; Karalyn Pappas; et al. (BMC Medical Informatics Decis. Mak., 2020)

Anytime parallel tempering. - Alix Marie d'Avigneau; Sumeetpal S. Singh; Lawrence M. Murray (Stat. Comput., 2021)