Publication:
Robust Inference and Modeling of Mean and Dispersion for Generalized Linear Models
| dc.contributor.author | Ponnet, Jolien | |
| dc.contributor.author | Segaert, Pieter | |
| dc.contributor.author | Van Aelst, Stefan | |
| dc.contributor.author | Verdonck, Tim | |
| dc.contributor.imecauthor | Verdonck, Tim | |
| dc.contributor.orcidext | Ponnet, Jolien::0000-0003-2036-6213 | |
| dc.contributor.orcidext | Segaert, Pieter::0000-0003-3219-7242 | |
| dc.contributor.orcidext | Van Aelst, Stefan::0000-0002-9931-5330 | |
| dc.contributor.orcidimec | Verdonck, Tim::0000-0003-1105-2028 | |
| dc.date.accessioned | 2024-03-11T16:18:12Z | |
| dc.date.available | 2023-11-22T14:22:19Z | |
| dc.date.available | 2024-03-11T16:18:12Z | |
| dc.date.embargo | 2024-01-11 | |
| dc.date.issued | 2024 | |
| dc.description.wosFundingText | The authors gratefully acknowledge the support of International Funds KU Leuven, grant C16/15/068 and the BASF Research Chair on Robust Predictive Analytics at KU Leuven. | |
| dc.identifier.doi | 10.1080/01621459.2022.2140054 | |
| dc.identifier.issn | 0162-1459 | |
| dc.identifier.uri | https://imec-publications.be/handle/20.500.12860/43174 | |
| dc.publisher | TAYLOR & FRANCIS INC | |
| dc.source.beginpage | 678 | |
| dc.source.endpage | 689 | |
| dc.source.issue | 545 | |
| dc.source.journal | JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION | |
| dc.source.numberofpages | 12 | |
| dc.source.volume | 119 | |
| dc.subject.discipline | Mathematics | |
| dc.subject.keywords | DOUBLE-EXPONENTIAL-FAMILIES | |
| dc.subject.keywords | VARIABLE SELECTION | |
| dc.subject.keywords | QUASI-LIKELIHOOD | |
| dc.subject.keywords | FRECHET DIFFERENTIABILITY | |
| dc.subject.keywords | REGRESSION | |
| dc.subject.keywords | ESTIMATORS | |
| dc.subject.keywords | FUNCTIONALS | |
| dc.subject.keywords | TESTS | |
| dc.title | Robust Inference and Modeling of Mean and Dispersion for Generalized Linear Models | |
| dc.type | Journal article | |
| dspace.entity.type | Publication | |
| Files | Original bundle
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