Vote for your favorite mineral in #MinCup25! - Carpathite vs. Leucite
Brace for oddness in a match between one of the very few hydrocarbon minerals carpathite and the temperature-flipping mineral leucite.
Log InRegister
Quick Links : The Mindat ManualThe Rock H. Currier Digital LibraryMindat Newsletter [Free Download]
Home PageAbout MindatThe Mindat ManualHistory of MindatCopyright StatusWho We AreContact UsAdvertise on Mindat
Donate to MindatCorporate SponsorshipSponsor a PageSponsored PagesMindat AdvertisersAdvertise on Mindat
Learning CenterWhat is a mineral?The most common minerals on earthInformation for EducatorsMindat ArticlesThe ElementsThe Rock H. Currier Digital LibraryGeologic Time
Minerals by PropertiesMinerals by ChemistryAdvanced Locality SearchRandom MineralRandom LocalitySearch by minIDLocalities Near MeSearch ArticlesSearch GlossaryMore Search Options
Search For:
Mineral Name:
Locality Name:
Keyword(s):
 
The Mindat ManualAdd a New PhotoRate PhotosLocality Edit ReportCoordinate Completion ReportAdd Glossary Item
Mining CompaniesStatisticsUsersMineral MuseumsClubs & OrganizationsMineral Shows & EventsThe Mindat DirectoryDevice SettingsThe Mineral Quiz
Photo SearchPhoto GalleriesSearch by ColorNew Photos TodayNew Photos YesterdayMembers' Photo GalleriesPast Photo of the Day GalleryPhotography

Hofert, Marius, Prasad, Avinash, Zhu, Mu (2023) Dependence Model Assessment and Selection with DecoupleNets. Journal of Computational and Graphical Statistics, 32 (4) 1272-1286 doi:10.1080/10618600.2022.2157835

Advanced
   -   Only viewable:
Reference TypeJournal (article/letter/editorial)
TitleDependence Model Assessment and Selection with DecoupleNets
JournalJournal of Computational and Graphical Statistics
AuthorsHofert, MariusAuthor
Prasad, AvinashAuthor
Zhu, MuAuthor
Year2023 (October 2)Volume32
Issue4
PublisherInforma UK Limited
DOIdoi:10.1080/10618600.2022.2157835Search in ResearchGate
Generate Citation Formats
Mindat Ref. ID16960160Long-form Identifiermindat:1:5:16960160:9
GUID0
Full ReferenceHofert, Marius, Prasad, Avinash, Zhu, Mu (2023) Dependence Model Assessment and Selection with DecoupleNets. Journal of Computational and Graphical Statistics, 32 (4) 1272-1286 doi:10.1080/10618600.2022.2157835
Plain TextHofert, Marius, Prasad, Avinash, Zhu, Mu (2023) Dependence Model Assessment and Selection with DecoupleNets. Journal of Computational and Graphical Statistics, 32 (4) 1272-1286 doi:10.1080/10618600.2022.2157835
In(2023, October) Journal of Computational and Graphical Statistics Vol. 32 (4) Informa UK Limited

See Also

These are possibly similar items as determined by title/reference text matching only.

Hofert, Marius, Prasad, Avinash, Zhu, Mu (2021) Quasi-Random Sampling for Multivariate Distributions via Generative Neural Networks. Journal of Computational and Graphical Statistics, 30 (3) 647-670 doi:10.1080/10618600.2020.1868302
Hofert, Marius, Mächler, Martin (2014) A Graphical Goodness-of-Fit Test for Dependence Models in Higher Dimensions. Journal of Computational and Graphical Statistics, 23 (3). 700-716 doi:10.1080/10618600.2013.812518
Xin, Lu, Zhu, Mu (2012) Stochastic Stepwise Ensembles for Variable Selection. Journal of Computational and Graphical Statistics, 21 (2). 275-294 doi:10.1080/10618600.2012.679223
Pan, Wei (1999) Bootstrapping Likelihood for Model Selection with Small Samples. Journal of Computational and Graphical Statistics, 8 (4). 687-698 doi:10.1080/10618600.1999.10474843
Raynal, Louis, Hoffmann, Till, Onnela, Jukka-Pekka (2023) Cost-based Feature Selection for Network Model Choice. Journal of Computational and Graphical Statistics, 32 (3) 1109-1118 doi:10.1080/10618600.2022.2151453
Barnwal, Avinash, Cho, Hyunsu, Hocking, Toby (2022) Survival Regression with Accelerated Failure Time Model in XGBoost. Journal of Computational and Graphical Statistics, 31 (4) 1292-1302 doi:10.1080/10618600.2022.2067548
Chang, Ming-Chung (2023) Predictive Subdata Selection for Computer Models. Journal of Computational and Graphical Statistics, 32 (2) 613-630 doi:10.1080/10618600.2022.2097247
Barone, Rosario, Dalla Valle, Luciana (2023) Bayesian Nonparametric Modeling of Conditional Multidimensional Dependence Structures. Journal of Computational and Graphical Statistics, 32 (4) 1361-1370 doi:10.1080/10618600.2023.2173604
(2023) Correction. Journal of Computational and Graphical Statistics, 32 (1) doi:10.1080/10618600.2023.2165501
Linero, Antonio R., Du, Junliang (2023) Gibbs Priors for Bayesian Nonparametric Variable Selection with Weak Learners. Journal of Computational and Graphical Statistics, 32 (3) 1046-1059 doi:10.1080/10618600.2022.2142594
Li, Dongjin, Dutta, Somak, Roy, Vivekananda (2023) Model Based Screening Embedded Bayesian Variable Selection for Ultra-high Dimensional Settings. Journal of Computational and Graphical Statistics, 32 (1) 61-73 doi:10.1080/10618600.2022.2074428
 
and/or  
Mindat.org is an outreach project of the Hudson Institute of Mineralogy, a 501(c)(3) not-for-profit organization.
Copyright © mindat.org and the Hudson Institute of Mineralogy 1993-2025, except where stated. Most political location boundaries are © OpenStreetMap contributors. Mindat.org relies on the contributions of thousands of members and supporters. Founded in 2000 by Jolyon Ralph.
To cite: Ralph, J., Von Bargen, D., Martynov, P., Zhang, J., Que, X., Prabhu, A., Morrison, S. M., Li, W., Chen, W., & Ma, X. (2025). Mindat.org: The open access mineralogy database to accelerate data-intensive geoscience research. American Mineralogist, 110(6), 833–844. doi:10.2138/am-2024-9486.
Privacy Policy - Terms & Conditions - Contact Us / DMCA issues - Report a bug/vulnerability Current server date and time: September 6, 2025 08:46:33
Go to top of page