OpenAlex | Posterior contraction rates for the Bayesian approach to linear ill-posed inverse problems

Posterior contraction rates for the Bayesian approach to linear ill-posed inverse problems

Work

Year: 2013

Type: article

Source: Stochastic Processes and their Applications

Authors Sergios Agapiou, Stig Larsson, Andrew M. Stuart

Institutions University of Warwick, Chalmers University of Technology, University of Gothenburg

Cites: 36

Cited by: 91

Related to: 10

FWCI: 12.09

Citation percentile (by year/subfield): 97.63

Topic: Gaussian Processes and Bayesian Inference

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: bronze

Funders Vetenskapsrådet, Engineering and Physical Sciences Research Council, European Research Council