BibTeX entries

@unpublished{ABLSS19
author = "David J. Albers, Paul-Adrien Blancquart, Matthew E. Levine, Elnaz Esmaeilzadeh Seylabi, Andrew Stuart"
title = "Ensemble Kalman Methods With Constraints"
note = "arXiv:1901.05668",
}

@unpublished{KS2018 
author = "N. B. Kovachki and A.M. Stuart", 
title = "Ensemble Kalman Inversion: A Derivative-Free Technique For Machine Learning Tasks", 
note = "arXiv:1808.03620", 
}

@unpublished{DSST2018
author = "M. M. Dunlop and D. Slepcev and A. M. Stuart and M. Thorpe",
title = "Large Data and Zero Noise Limits of Graph-Based Semi-Supervised Learning Algorithms",
note = "arXiv:1805.09450",
}

@unpublished{CDPS2018
author = "V. Chen and M. M. Dunlop and O. Papaspiliopoulos and A. M. Stuart",
title = "Robust MCMC Sampling with Non-Gaussian and Hierarchical Priors in High Dimensions",
note = "arXiv:1803.03344",
}

@unpublished{LHMSA17
author = "M. E. Levine and G. Hripcsak and L. Mamykina and A. Stuart and D. J. Albers",
title = "Offline and Online Data Assimilation for Real-time Blood Glucose Forecasting in Type 2 Diabetes",
note = "arXiv:1709.00163",
}

@unpublished{DEHS17
author = "M. M. Dunlop and C. M. Elliott and V. H. Hoang and A. M. Stuart",
title = "Reconciling Bayesian and Total Variation Methods for Binary Inversion",
note = "arXiv:1706.01960",
}

@unpublished{SS17b
author = "C. Schillings and A. M. Stuart",
title = "Convergence Analysis of the Ensemble Kalman Filter for Inverse Problems: the Noisy Case",
note = "submitted",
}

@unpublished{LSS17
author = "H. C. Lie and A. M. Stuart and T. J. Sullivan",
title = "Strong Convergence Rates of Probabilistic Integrators for Ordinary Differential Equations",
note = "arXiv:1703.03680",
}

@unpublished{KS16
author = "D. Kelly and A. M. Stuart",
title = "Ergodicity and Accuracy of Optimal Particle Filters for Bayesian Data Assimilation",
note = "arXiv:1611.08761",
}

@unpublished{OS14
author = "M. Ottobre and A. M. Stuart", 
title = "Diffusion limit for the random walk Metropolis algorithm out of stationarity",
note = "arXiv:1405.4896",
}