S.N.Gomes, A.M.Stuart, M-T.Wolfram, Parameter Estimation for Macroscopic Pedestrian Dynamics Models from Microscopic Data (Submitted).
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N.B.Kovachi and A.M.Stuart, Ensemble Kalman Inversion: A Derivative-Free Technique For Machine Learning Tasks (Submitted)
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M.M.Dunlop, D.Slepcev, A.M.Stuart, M.Thorpe, Large Data and Zero Noise Limits of Graph-Based Semi-Supervised Learning Algorithms (Submitted).
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V.Chen, M.M.Dunlop, O.Papaspiliopoulos, A.M.Stuart, Robust MCMC Sampling with Non-Gaussian and Hierarchical Priors in High Dimensions (Submitted).
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M.M.Dunlop, M.Girolami, A.M.Stuart, A.L.Teckentrup, How Deep are Deep Gaussian Processes? (Submitted).
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M.E.Levine, G.Hripcsak, L.Mamykina, A.Stuart, D.J.Albers, Offline and online data assimilation for real-time blood glucose forecasting in type 2 diabetes (Submitted).
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M.M.Dunlop, C.M.Elliott, V.H.Hoang, A.M.Stuart, Bayesian Formulations of Multidimensional Barcode Inversion (Submitted)
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C.Schillings, A.M.Stuart, Convergence Analysis of the Ensemble Kalman Filter for Inverse Problems: the Noisy Case (Submitted)
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H.C.Lie, A.M.Stuart, T.J.Sullivan, Strong convergence rates of probabilistic integrators for ordinary differential equations (Submitted)
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D. Kelly and A.M. Stuart, Ergodicity and Accuracy of Optimal Particle Filters for Bayesian Data Assimilation (Submitted)
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M. Ottobre, A.M. Stuart and J. Kuntz, Diffusion limit for the random walk Metropolis algorithm out of stationarity (Annales de l'Institut Henri Poincare B, to appear)
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