Brunel University Research Archive(BURA) preserves and enables easy and open access to all
types of digital content. It showcases Brunel's research outputs.
Research contained within BURA is open access, although some publications may be subject
to publisher imposed embargoes. All awarded PhD theses are also archived on BURA.
Please use this identifier to cite or link to this item:
http://bura.brunel.ac.uk/handle/2438/29125Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Ma, S | - |
| dc.contributor.author | Tang, ML | - |
| dc.contributor.author | Yu, K | - |
| dc.contributor.author | Härdle, WK | - |
| dc.contributor.author | Wang, Z | - |
| dc.contributor.author | Xiong, W | - |
| dc.contributor.author | Zhang, X | - |
| dc.contributor.author | Wang, K | - |
| dc.contributor.author | Zhang, L | - |
| dc.contributor.author | Tian, M | - |
| dc.date.accessioned | 2024-06-05T11:01:09Z | - |
| dc.date.available | 2024-06-05T11:01:09Z | - |
| dc.date.issued | 2024 | - |
| dc.identifier | ORCiD: Keming Yu https://orcid.org/0000-0001-6341-8402 | - |
| dc.identifier.citation | Ma, S. et al. (2024) 'A Censored Quantile Transformation Model for Alzheimer's Disease Data with Multiple Functional Covariates', Journal of the Royal Statistical Society Series A: Statistics in Society, 0 (accepted, in press), pp. 1 - [31]. | en_US |
| dc.identifier.issn | 0964-1998 | - |
| dc.identifier.uri | https://bura.brunel.ac.uk/handle/2438/29125 | - |
| dc.description | ... | en_US |
| dc.description.abstract | ... | en_US |
| dc.description.sponsorship | The work of S. P. Ma was supported by the Fundamental Research Funds for the Central Universities in UIBE (23QD03). The work of M. L. Tang was partially supported by the Research Matching Grant (project: 700006 Applications of SAS Viya in Big Data Analytics) and FDS Grant (UGC/FDS14/P05/20) from the Research Grants Council of the Hong Kong Special Administration Region, and the Big Data Intelligence Centre in The Hang Seng University of Hong Kong. The work of Z. H. Wang was supported by Natural Science Foundation of Xinjiang Uygur Autonomous Region(2023D01A74). | en_US |
| dc.format.extent | 1 - 31 | - |
| dc.format.medium | Print-Electronic | - |
| dc.language.iso | en | en_US |
| dc.publisher | Oxford University Press on behalf of the Royal Statistical Society | en_US |
| dc.subject | ADNI study | en_US |
| dc.subject | censored quantile regression | en_US |
| dc.subject | multivariate functional data | en_US |
| dc.subject | transformation model | en_US |
| dc.title | A Censored Quantile Transformation Model for Alzheimer's Disease Data with Multiple Functional Covariates | en_US |
| dc.type | Article | en_US |
| dc.relation.isPartOf | Journal of the Royal Statistical Society Series A: Statistics in Society | - |
| pubs.publication-status | Accepted | - |
| pubs.volume | 0 | - |
| dc.identifier.eissn | 1467-985X | - |
| Appears in Collections: | Dept of Mathematics Embargoed Research Papers | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| FullText.pdf | Embargoed until 12 months after publication | 953 kB | Adobe PDF | View/Open |
Items in BURA are protected by copyright, with all rights reserved, unless otherwise indicated.