Bjorn Sprungk

Analysis of the Ensemble and Polynomial Chaos Kalman Filters in Bayesian Inverse Problems

Oliver G. Ernst, Bjorn Sprungk, Hans-Jorg Starkloff, 2015, SIAM/ASA J. Uncertain. Quantification.

On the Locally Lipschitz Robustness of Bayesian Inverse Problems pdf

Bjorn Sprungk, Björn Sprungk, 2019, ArXiv.

On Expansions and Nodes for Sparse Grid Collocation of Lognormal Elliptic PDEs pdf

Oliver G. Ernst, Bjorn Sprungk, Lorenzo Tamellini, 2019, ArXiv.

Stability of doubly-intractable distributions pdf

Bjorn Sprungk, Michael Habeck, Daniel Rudolf, 2020, ArXiv.

Sensitivity of Uncertainty Propagation for the Elliptic Diffusion Equation pdf

Oliver G. Ernst, Bjorn Sprungk, Alois Pichler, 2020, ArXiv.

On the convergence of adaptive stochastic collocation for elliptic partial differential equations with affine diffusion pdf

Bjorn Sprungk, Martin Eigel, Lorenzo Tamellini, 2020, SIAM J. Numer. Anal..

On the convergence of the Laplace approximation and noise-level-robustness of Laplace-based Monte Carlo methods for Bayesian inverse problems

Bjorn Sprungk, Claudia Schillings, Philipp Wacker, 2019, Numerische Mathematik.