The scale enhanced wild bootstrap method for evaluating climate models using wavelets
| dc.contributor.author | Chatterjee, Snigdhansu | |
| dc.date.accessioned | 2026-03-05T19:35:46Z | |
| dc.date.issued | 2019-01-01 | |
| dc.description.abstract | A novel resampling-based method is presented for testing if a Physics-based model or reanalysis object successfully emulates climate signals. We establish asymptotic consistency, present simulations and a real-data application to illustrate the performance of the proposed method. | |
| dc.description.uri | https://www.sciencedirect.com/science/article/pii/S0167715218302645 | |
| dc.format.extent | 13 pages | |
| dc.genre | journal articles | |
| dc.genre | postrpints | |
| dc.identifier | doi:10.13016/m2v1o6-9fem | |
| dc.identifier.citation | Chatterjee, Snigdhansu. “The Scale Enhanced Wild Bootstrap Method for Evaluating Climate Models Using Wavelets.” Statistics & Probability Letters, Advances in statistical methods and applications for Climate change and Environment, vol. 144 (January 2019): 69–73. https://doi.org/10.1016/j.spl.2018.07.020. | |
| dc.identifier.uri | https://doi.org/10.1016/j.spl.2018.07.020 | |
| dc.identifier.uri | http://hdl.handle.net/11603/42009 | |
| dc.language.iso | en | |
| dc.publisher | Elsevier | |
| dc.relation.isAvailableAt | The University of Maryland, Baltimore County (UMBC) | |
| dc.relation.ispartof | UMBC Mathematics and Statistics Department | |
| dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 International | |
| dc.rights.uri | https://creativecommons.org/licenses/by-nc-nd/4.0/deed.en | |
| dc.subject | Wavelet | |
| dc.subject | Martingale | |
| dc.subject | Wild scale enhanced bootstrap | |
| dc.subject | Climate model | |
| dc.subject | Reanalysis | |
| dc.subject | Indian monsoon | |
| dc.title | The scale enhanced wild bootstrap method for evaluating climate models using wavelets | |
| dc.type | Text | |
| dcterms.creator | https://orcid.org/0000-0002-7986-0470 |