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Please use this identifier to cite or link to this item:
http://bura.brunel.ac.uk/handle/2438/25839| Title: | Efficient Uncertainty Quantification for Under-constraint Prediction following Learning using MCMC |
| Authors: | Roy, G Chakrabarty, D |
| Keywords: | covariance kernel hyperparameter;MCMC;learning under constraint;Gaussian process;uncertainty propagation |
| Issue Date: | 2023 |
| Publisher: | Springer Nature |
| Citation: | Roy, G. and Chakrabarty, D. (2023) 'Efficient Uncertainty Quantification for Under-constraint Prediction following Learning using MCMC', Communications in Computer and Information Science (CCIS), 0 (accepted, in press), pp. 1 - 13. |
| URI: | https://bura.brunel.ac.uk/handle/2438/25839 |
| ISSN: | 1865-0929 |
| Other Identifiers: | ORCID iD: Dalia Chakrabarty https://orcid.org/0000-0003-1246-4235 |
| Appears in Collections: | Dept of Mathematics Embargoed Research Papers |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| FullText.pdf | Embragoed until publication | 1.07 MB | Adobe PDF | View/Open |
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