Richard Nickl

According to our database, Richard Nickl authored at least 11 papers between 2019 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

On gradient stability in nonlinear PDE models and inference in interacting particle systems.

Aurélien Castre, Richard Nickl

CoRR, January, 2026

2025

Inferring diffusivity from killed diffusion.

Richard Nickl, Fanny Seizilles

CoRR, March, 2025

2024

On low frequency inference for diffusions without the hot spots conjecture.

Giovanni S. Alberti, Douglas Barnes, Aditya Jambhale, Richard Nickl

CoRR, 2024

Bernstein-von Mises theorems for time evolution equations.

Richard Nickl

CoRR, 2024

Bayesian Nonparametric Inference in McKean-Vlasov models.

Richard Nickl, Grigorios A. Pavliotis, Kolyan Ray

CoRR, 2024

2023

On posterior consistency of data assimilation with Gaussian process priors: the 2D Navier-Stokes equations.

Richard Nickl, Edriss S. Titi

CoRR, 2023

2022

Inference for diffusions from low frequency measurements.

Richard Nickl

CoRR, 2022

On free energy barriers in Gaussian priors and failure of MCMC for high-dimensional unimodal distributions.

Afonso S. Bandeira, Antoine Maillard, Richard Nickl, Sven Wang

CoRR, 2022

2020

Convergence Rates for Penalized Least Squares Estimators in PDE Constrained Regression Problems.

Richard Nickl, Sara A. van de Geer, Sven Wang

SIAM/ASA J. Uncertain. Quantification, 2020

On polynomial-time computation of high-dimensional posterior measures by Langevin-type algorithms.

Richard Nickl, Sven Wang

CoRR, 2020

2019

Consistency of Bayesian inference with Gaussian process priors in an elliptic inverse problem.

Matteo Giordano, Richard Nickl

CoRR, 2019