skip to content

Statistical Laboratory

Publications

On log-concave approximations of high-dimensional posterior measures and stability properties in non-linear inverse problems
J Bohr, R Nickl
– Annales de l'institut Henri Poincare (B) Probability and Statistics
(2024)
60,
2619
On low frequency inference for diffusions without the hot spots conjecture
GS Alberti, D Barnes, A Jambhale, R Nickl
(2024)
On posterior consistency of data assimilation with Gaussian process priors: The 2D-Navier–Stokes equations
R Nickl, ES Titi
– The Annals of Statistics
(2024)
52,
1825
Bernstein-von Mises theorems for time evolution equations
R Nickl
(2024)
Bayesian Nonparametric Inference in McKean-Vlasov models
R Nickl, GA Pavliotis, K Ray
(2024)
Consistent inference for diffusions from low frequency measurements
R Nickl
– The Annals of Statistics
(2024)
52,
519
On posterior consistency of data assimilation with Gaussian process priors: the 2D Navier-Stokes equations
R Nickl, ES Titi
(2023)
On free energy barriers in Gaussian priors and failure of cold start MCMC for high-dimensional unimodal distributions
AS Bandeira, A Maillard, R Nickl, S Wang
– Philos Trans A Math Phys Eng Sci
(2023)
381,
20220150
On polynomial-time computation of high-dimensional posterior measures by Langevin-type algorithms
R Nickl, S Wang
– Journal of the European Mathematical Society
(2022)
26,
1031
Consistent inference for diffusions from low frequency measurements
R Nickl
(2022)
  • 1 of 7
  • >

Frontpage talks

22
Jan
Cambridge Statistics Clinic

05
Feb
Cambridge Statistics Clinic

07
Feb
14:00 - 15:00: Title to be confirmed
Statistics

14
Feb
14:00 - 15:00: Title to be confirmed
Statistics

Research Group

Statistical Laboratory

Room

D2.05

Telephone

01223 765020