Richard Nickl

11 papers Journal 11

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	On gradient stability in nonlinear PDE models and inference in interacting particle systems. CoRR Aurélien Castre, Richard Nickl
2025	J	`jnl`	Inferring diffusivity from killed diffusion. CoRR Richard Nickl, Fanny Seizilles
2024	J	`jnl`	Bayesian Nonparametric Inference in McKean-Vlasov models. CoRR Richard Nickl, Grigorios A. Pavliotis, Kolyan Ray
2024	J	`jnl`	Bernstein-von Mises theorems for time evolution equations. CoRR Richard Nickl
2024	J	`jnl`	On low frequency inference for diffusions without the hot spots conjecture. CoRR Giovanni S. Alberti, Douglas Barnes, Aditya Jambhale, Richard Nickl
2023	J	`jnl`	On posterior consistency of data assimilation with Gaussian process priors: the 2D Navier-Stokes equations. CoRR Richard Nickl, Edriss S. Titi
2022	J	`jnl`	Inference for diffusions from low frequency measurements. CoRR Richard Nickl
2022	J	`jnl`	On free energy barriers in Gaussian priors and failure of MCMC for high-dimensional unimodal distributions. CoRR Afonso S. Bandeira, Antoine Maillard, Richard Nickl, Sven Wang
2020	J	`jnl`	Convergence Rates for Penalized Least Squares Estimators in PDE Constrained Regression Problems. SIAM/ASA J. Uncertain. Quantification Richard Nickl, Sara A. van de Geer, Sven Wang
2020	J	`jnl`	On polynomial-time computation of high-dimensional posterior measures by Langevin-type algorithms. CoRR Richard Nickl, Sven Wang
2019	J	`jnl`	Consistency of Bayesian inference with Gaussian process priors in an elliptic inverse problem. CoRR Matteo Giordano, Richard Nickl