Bayesian nonparametric estimation of Milky Way parameters using matrix-variate data, in a new Gaussian Process based method
- Submitting institution
-
Brunel University London
- Unit of assessment
- 10 - Mathematical Sciences
- Output identifier
- 060-213174-7003575
- Type
- D - Journal article
- DOI
-
10.1214/15-EJS1037
- Title of journal
- Electronic Journal Of Statistics
- Article number
- -
- First page
- 1378
- Volume
- 9
- Issue
- -
- ISSN
- 1935-7524
- Open access status
- Out of scope for open access requirements
- Month of publication
- June
- Year of publication
- 2015
- URL
-
https://arxiv.org/abs/1304.5967
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
2
- Research group(s)
-
4 - Statistics & Data Science (SDS)
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- -
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
