Bayesian Update with Importance Sampling: Required Sample Size von Sanz-Alonso, Daniel, Wang, Zijian

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Variational Characterizations of Local Entropy and Heat Regularization in Deep Learning von García Trillos, Nicolas, Kaplan, Zachary, Sanz-Alonso, Daniel

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The SPDE Approach to Matérn Fields: Graph Representations von Sanz-Alonso, Daniel, Yang, Ruiyi

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Reduced-order autodifferentiable ensemble Kalman filters von Chen, Yuming, Sanz-Alonso, Daniel, Willett, Rebecca

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Reduced-order autodifferentiable ensemble Kalman filters von Chen, Yuming, Sanz-Alonso, Daniel, Willett, Rebecca

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Analysis of a Computational Framework for Bayesian Inverse Problems: Ensemble Kalman Updates and MAP Estimators under Mesh Refinement von Sanz-Alonso, Daniel, Waniorek, Nathan

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Importance Sampling and Necessary Sample Size: An Information Theory Approach von Sanz-Alonso, Daniel

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Finite Element Representations of Gaussian Processes: Balancing Numerical and Statistical Accuracy von Sanz-Alonso, Daniel, Yang, Ruiyi

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The Bayesian formulation and well-posedness of fractional elliptic inverse problems von Trillos, Nicolás García, Sanz-Alonso, Daniel

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The Bayesian Update: Variational Formulations and Gradient Flows von Garcia Trillos, Nicolas, Sanz-Alonso, Daniel

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Graph-based prior and forward models for inverse problems on manifolds with boundaries von Harlim, John, Jiang, Shixiao W, Kim, Hwanwoo, Sanz-Alonso, Daniel

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Continuum Limits of Posteriors in Graph Bayesian Inverse Problems von García Trillos, Nicolás, Sanz-Alonso, Daniel

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Kernel Methods for Bayesian Elliptic Inverse Problems on Manifolds von Harlim, John, Sanz-Alonso, Daniel, Yang, Ruiyi

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Ensemble Kalman Filters with Resampling von Al-Ghattas, Omar, Bao, Jiajun, Sanz-Alonso, Daniel

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A Variational Inference Approach to Inverse Problems with Gamma Hyperpriors von Agrawal, Shiv, Kim, Hwanwoo, Sanz-Alonso, Daniel, Strang, Alexander

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Gaussian approximations of small noise diffusions in Kullback–Leibler divergence von Sanz-Alonso, Daniel, Stuart, Andrew M.

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Filter accuracy for the Lorenz 96 model: Fixed versus adaptive observation operators von Law, K.J.H., Sanz-Alonso, D., Shukla, A., Stuart, A.M.

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Long-Time Asymptotics of the Filtering Distribution for Partially Observed Chaotic Dynamical Systems von Sanz-Alonso, Daniel, Stuart, Andrew M.

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Long-time accuracy of ensemble Kalman filters for chaotic and machine-learned dynamical systems von Sanz-Alonso, Daniel, Waniorek, Nathan

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Precision and Cholesky Factor Estimation for Gaussian Processes von Chen, Jiaheng, Sanz-Alonso, Daniel

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