dc.contributor.author | Lam, Ka Kin | |
dc.contributor.author | Wang, Bo | |
dc.date.accessioned | 2021-07-12T19:56:01Z | |
dc.date.available | 2021-07-12T19:56:01Z | |
dc.date.issued | 2021-03-09 | |
dc.identifier.citation | Lam , K K & Wang , B 2021 , ' Robust Non-Parametric Mortality and Fertility Modelling and Forecasting : Gaussian Process Regression Approaches ' , Forecasting , vol. 3 , pp. 207–227 . https://doi.org/10.3390/forecast3010013 | en |
dc.identifier.other | PURE: 196817497 | |
dc.identifier.other | PURE UUID: 4d961e1a-d7d8-4dab-b20a-1d8a480f64a4 | |
dc.identifier.other | ORCID: /0000-0003-3618-3585/work/90604359 | |
dc.identifier.uri | https://hdl.handle.net/2164/16806 | |
dc.description | Funding: This research received no external funding. Acknowledgments: The authors thank the editor and the reviewers for their very helpful and constructive comments. | en |
dc.format.extent | 21 | |
dc.language.iso | eng | |
dc.relation.ispartof | Forecasting | en |
dc.rights | This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https:// creativecommons.org/licenses/by/ 4.0/). | en |
dc.subject | demographic modelling | en |
dc.subject | mortality forecasting | en |
dc.subject | fertility forecasting | en |
dc.subject | Gaussian process | en |
dc.subject | non-parametric regression | en |
dc.subject | Lee-Carter model | en |
dc.subject | R Medicine | en |
dc.subject | QA Mathematics | en |
dc.subject.lcc | R | en |
dc.subject.lcc | QA | en |
dc.title | Robust Non-Parametric Mortality and Fertility Modelling and Forecasting : Gaussian Process Regression Approaches | en |
dc.type | Journal article | en |
dc.contributor.institution | University of Aberdeen.Other Applied Health Sciences | en |
dc.contributor.institution | University of Aberdeen.Aberdeen Centre For Health Data Science | en |
dc.description.status | Peer reviewed | en |
dc.description.version | Publisher PDF | en |
dc.identifier.doi | https://doi.org/10.3390/forecast3010013 | |
dc.identifier.url | https://doi.org/10.3390/forecast3010013 | en |
dc.identifier.vol | 3 | en |