Stochastic differential equations with fuzzy drift and diffusion. - Björn Sprungk; K. Gerald van den Boogaart (Fuzzy Sets Syst., 2013)

Analysis of the Ensemble and Polynomial Chaos Kalman Filters in Bayesian Inverse Problems. - Oliver G. Ernst; Björn Sprungk; Hans-Jörg Starkloff (SIAM/ASA J. Uncertain. Quantification, 2015)

On a Generalization of the Preconditioned Crank-Nicolson Metropolis Algorithm. - Daniel Rudolf; Björn Sprungk (Found. Comput. Math., 2018)

Convergence of Sparse Collocation for Functions of Countably Many Gaussian Random Variables (with Application to Elliptic PDEs). - Oliver G. Ernst; Björn Sprungk; Lorenzo Tamellini (SIAM J. Numer. Anal., 2018)

On Expansions and Nodes for Sparse Grid Collocation of Lognormal Elliptic PDEs. - Oliver G. Ernst; Björn Sprungk; Lorenzo Tamellini (CoRR, 2019)

On the Locally Lipschitz Robustness of Bayesian Inverse Problems. - Björn Sprungk (CoRR, 2019)

Sensitivity of Uncertainty Propagation for the Elliptic Diffusion Equation. - Oliver G. Ernst; Alois Pichler; Björn Sprungk (CoRR, 2020)

Stability of doubly-intractable distributions. - Michael Habeck; Daniel Rudolf; Björn Sprungk (CoRR, 2020)

On the convergence of the Laplace approximation and noise-level-robustness of Laplace-based Monte Carlo methods for Bayesian inverse problems. - Claudia Schillings; Björn Sprungk; Philipp Wacker (Numerische Mathematik, 2020)

Geometric convergence of elliptical slice sampling. - Viacheslav Natarovskii; Daniel Rudolf; Björn Sprungk (ICML, 2021)

Dimension-independent Markov chain Monte Carlo on the sphere. - Han Cheng Lie; Daniel Rudolf; Björn Sprungk; Timothy John Sullivan (CoRR, 2021)

Robust random walk-like Metropolis-Hastings algorithms for concentrating posteriors. - Daniel Rudolf; Björn Sprungk (CoRR, 2022)

On the Convergence of Adaptive Stochastic Collocation for Elliptic Partial Differential Equations with Affine Diffusion. - Martin Eigel; Oliver G. Ernst; Björn Sprungk; Lorenzo Tamellini (SIAM J. Numer. Anal., 2022)

Wasserstein Sensitivity of Risk and Uncertainty Propagation. - Oliver G. Ernst; Alois Pichler; Björn Sprungk (SIAM/ASA J. Uncertain. Quantification, 2022)

Metropolis-adjusted interacting particle sampling. - Björn Sprungk; Simon Weissmann; Jakob Zech (Stat. Comput., 2025)