Statistical algorithms for low-frequency diffusion data: A PDE approach

2 May 2024

Papers citing "Statistical algorithms for low-frequency diffusion data: A PDE approach"

9 / 9 papers shown

Title
On free energy barriers in Gaussian priors and failure of cold start MCMC for high-dimensional unimodal distributions Afonso S. Bandeira Antoine Maillard Richard Nickl Sven Wang 41 8 0 05 Sep 2022
Hierarchical Text-Conditional Image Generation with CLIP Latents Aditya A. Ramesh Prafulla Dhariwal Alex Nichol Casey Chu Mark Chen VLM DiffM 254 6,768 0 13 Apr 2022
On some information-theoretic aspects of non-linear statistical inverse problems Richard Nickl G. Paternain 47 9 0 20 Jul 2021
Score-Based Generative Modeling through Stochastic Differential Equations Yang Song Jascha Narain Sohl-Dickstein Diederik P. Kingma Abhishek Kumar Stefano Ermon Ben Poole DiffM SyDa 234 6,293 0 26 Nov 2020
Mixing it up: A general framework for Markovian statistics Niklas Dexheimer Claudia Strauch Lukas Trottner 54 9 0 31 Oct 2020
Consistency of Bayesian inference with Gaussian process priors in an elliptic inverse problem M. Giordano Richard Nickl 51 59 0 16 Oct 2019
Convergence rates for Penalised Least Squares Estimators in PDE-constrained regression problems Richard Nickl Sara van de Geer Sven Wang 26 60 0 24 Sep 2018
Nonparametric Bayesian posterior contraction rates for discretely observed scalar diffusions Richard Nickl Jakob Sohl 41 77 0 19 Oct 2015
Monte Carlo maximum likelihood estimation for discretely observed diffusion processes A. Beskos O. Papaspiliopoulos Gareth O. Roberts 65 85 0 02 Mar 2009