Research output per year
Research output per year
Project Details
Description
Developing efficient, robust and scalable algorithms for sampling from probability distributions that are tightly concentrated around a manifold.
Layman's description
Find solutions to hard statistical problems much faster.
| Status | Not started |
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Fingerprint
Explore the research topics touched on by this project. These labels are generated based on the underlying awards/grants. Together they form a unique fingerprint.
Research output
- 1 Preprint
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Monte Carlo sampling with integrator snippets
Andrieu, C., Escudero, M. C. & Zhang, C., 20 Apr 2024, arXiv.org, 59 p.Research output: Working paper › Preprint
File89 Downloads (Pure)
Student theses
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Approximate Manifold Sampling: Robust Bayesian Inference for Machine Learning
Camara Escudero, M. (Author), Andrieu, C. (Supervisor), Beaumont, M. (Supervisor) & Johnson, O. (Supervisor), 18 Jun 2024Student thesis: Doctoral Thesis › Doctor of Philosophy (PhD)
File