Efficient Bayesian Computation for Low-Photon Imaging Problems-Reference-Cited by-同舟云学术

Efficient Bayesian Computation for Low-Photon Imaging Problems

Published:2023-07-24 Issue:3 Volume:16 Page:1195-1234
ISSN:1936-4954
Container-title:SIAM Journal on Imaging Sciences
language:en
Short-container-title:SIAM J. Imaging Sci.

Author:

Melidonis Savvas¹,Dobson Paul²,Altmann Yoann³^ORCID,Pereyra Marcelo⁴^ORCID,Zygalakis Konstantinos⁵^ORCID

Affiliation:

1. School of Mathematical and Computer Sciences, Heriot-Watt University, Edinburgh, EH14 4AS, Scotland, UK.

2. School of Mathematics, University of Edinburgh, Edinburgh, EH9 3FD, Scotland, UK.

3. School of Engineering and Physical Sciences, Heriot-Watt University, Edinburgh, EH14 4AS, Scotland, UK.

4. School of Mathematical and Computer Sciences, Heriot-Watt University, Edinburgh, EH14 4AS, Scotland, UK, and Maxwell Institute for Mathematical Sciences, Bayes Centre, Edinburgh, Scotland, UK.

5. School of Mathematics, University of Edinburgh, Edinburgh, EH9 3FD, Scotland, UK, and Maxwell Institute for Mathematical Sciences, Bayes Centre, Edinburgh, Scotland, UK.

Funder

Leverhulme Trust

Royal Academy of Engineering

Engineering and Physical Sciences Research Council

Publisher

Society for Industrial & Applied Mathematics (SIAM)

Subject

Applied Mathematics,General Mathematics

Reference73 articles.

1. Explicit Stabilized Runge–Kutta Methods

2. Optimal Explicit Stabilized Integrator of Weak Order 1 for Stiff and Ergodic Stochastic Differential Equations

3. A Bayesian Approach to Denoising of Single-Photon Binary Images