المؤلفون: Costa, Viviane, R. Nakamura, Luiz, G. Ramires, Thiago, M. C. Pereira, Geraldo

المصدر: Sigmae; Vol. 12 No. 1 (2023): Special issue: 66th RBRAS; 129-138 ; Sigmae; v. 12 n. 1 (2023): Special issue: 66th RBRAS; 129-138 ; 2317-0840

مصطلحات موضوعية: Climate, Meteorology, Distributional regression, Variability, Clima, Meteorologia, Regressão distribucional, Variabilidade

وصف الملف: application/pdf

العلاقة: https://publicacoes.unifal-mg.edu.br/revistas/index.php/sigmae/article/view/2072/1581Test; https://publicacoes.unifal-mg.edu.br/revistas/index.php/sigmae/article/view/2072Test

الإتاحة: https://publicacoes.unifal-mg.edu.br/revistas/index.php/sigmae/article/view/2072Test

المؤلفون: Näf, Jeffrey, id_orcid:0 000-0003-0920-1899, Emmenegger, Corinne, id_orcid:0 000-0003-0353-8888, Bühlmann, Peter, Meinshausen, Nicolai

المصدر: Journal of Machine Learning Research, 24

مصطلحات موضوعية: bootstrap, causality, conditional distributional treatment effect (CoDiTE), decision trees, distributional regression, ensemble methods, two-sample testing

وصف الملف: application/application/pdf

العلاقة: info:eu-repo/semantics/altIdentifier/wos/001130283200001; info:eu-repo/grantAgreement/EC/H2020/786461; http://hdl.handle.net/20.500.11850/651889Test

الإتاحة: https://doi.org/20.500.11850/651889Test
https://doi.org/10.3929/ethz-b-000651889Test
https://hdl.handle.net/20.500.11850/651889Test

المؤلفون: Rügamer, David, Baumann, Philipp F. M., id_orcid:0 000-0001-8066-1615, Kneib, Thomas, Hothorn, Torsten

المصدر: Statistics and Computing, 33 (2)

مصطلحات موضوعية: Semi-parametric models, Conditional density estimation, Distributional regression, Normalizing flows

وصف الملف: application/application/pdf

العلاقة: info:eu-repo/semantics/altIdentifier/wos/000926499800005; http://hdl.handle.net/20.500.11850/597163Test

الإتاحة: https://doi.org/20.500.11850/597163Test
https://doi.org/10.3929/ethz-b-000597163Test
https://doi.org/10.1007/s11222-023-10212-8Test
https://hdl.handle.net/20.500.11850/597163Test

المؤلفون: Dombry, Clément, Modeste, Thibault, Pic, Romain

المساهمون: Université de Franche-Comté (UFC), Université Bourgogne Franche-Comté COMUE (UBFC), Laboratoire de Mathématiques de Besançon (UMR 6623) (LMB), Centre National de la Recherche Scientifique (CNRS)-Université de Franche-Comté (UFC), Université Bourgogne Franche-Comté COMUE (UBFC)-Université Bourgogne Franche-Comté COMUE (UBFC), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon, Institut Camille Jordan (ICJ), École Centrale de Lyon (ECL), Université de Lyon-Université de Lyon-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Université Jean Monnet - Saint-Étienne (UJM)-Centre National de la Recherche Scientifique (CNRS), Probabilités, statistique, physique mathématique (PSPM), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Université Jean Monnet - Saint-Étienne (UJM)-Centre National de la Recherche Scientifique (CNRS)-École Centrale de Lyon (ECL), ANR-20-CE40-0025,T-REX,nouveaux challenges pour la prédiction des extremes et sa validation(2020)

المصدر: https://hal.science/hal-03966752Test ; 2023.

مصطلحات موضوعية: distributional regression, Wasserstein distance, non parametric regression, minimax rate of convergence, 62G05, [MATH.MATH-ST]Mathematics [math]/Statistics [math.ST]

العلاقة: info:eu-repo/semantics/altIdentifier/arxiv/2302.00975; hal-03966752; https://hal.science/hal-03966752Test; https://hal.science/hal-03966752/documentTest; https://hal.science/hal-03966752/file/main.pdfTest; ARXIV: 2302.00975

الإتاحة: https://hal.science/hal-03966752Test
https://hal.science/hal-03966752/documentTest
https://hal.science/hal-03966752/file/main.pdfTest

المؤلفون: Tobias Hepp, Jakob Zierk, Manfred Rauh, Markus Metzler, Andreas Mayr

المصدر: BMC Bioinformatics, Vol 21, Iss 1, Pp 1-15 (2020)

مصطلحات موضوعية: Latent class regression, Finite mixture models, Distributional regression, Reference limits, Computer applications to medicine. Medical informatics, R858-859.7, Biology (General), QH301-705.5

وصف الملف: electronic resource

العلاقة: http://link.springer.com/article/10.1186/s12859-020-03853-3Test; https://doaj.org/toc/1471-2105Test

الوصول الحر: https://doaj.org/article/154e44f7de5b4e2a9fb9c4e96b723480Test

المؤلفون: Kook, Lucas, Sick, Beate, Bühlmann, Peter

المصدر: ISSN:0960-3174 ; ISSN:1573-1375 ; Statistics and Computing.

مصطلحات موضوعية: Anchor regression, Covariate shift, Diluted causality, Distributional regression, Out-of-distribution generalization, Transformation models, info:eu-repo/classification/ddc/510

وصف الملف: application/pdf

العلاقة: https://doi.org/10.1007/s11222-022-10097-zTest; https://doi.org/10.21256/zhaw-27459Test; https://hdl.handle.net/11475/27459Test; https://digitalcollection.zhaw.ch/handle/11475/27459Test

الإتاحة: https://doi.org/10.1007/s11222-022-10097-zTest
https://doi.org/10.21256/zhaw-27459Test
https://hdl.handle.net/11475/27459Test
https://digitalcollection.zhaw.ch/handle/11475/27459Test

المؤلفون: Herzog, Lisa, Kook, Lucas, Götschi, Andrea, Petermann, Katrin, Hänsel, Martin, Hamann, Janne, Dürr, Oliver, Wegener, Susanne, Sick, Beate

المصدر: ISSN:0323-3847 ; ISSN:1521-4036 ; Biometrical Journal.

مصطلحات موضوعية: Deep learning, Distributional regression, Ordinal regression, Transformation model, Statistics, Application, info:eu-repo/classification/ddc/006

وصف الملف: application/pdf

العلاقة: https://doi.org/10.1002/bimj.202100379Test; https://doi.org/10.21256/zhaw-27393Test; https://hdl.handle.net/11475/27393Test; https://digitalcollection.zhaw.ch/handle/11475/27393Test

الإتاحة: https://doi.org/10.1002/bimj.202100379Test
https://doi.org/10.21256/zhaw-27393Test
https://hdl.handle.net/11475/27393Test
https://digitalcollection.zhaw.ch/handle/11475/27393Test

المؤلفون: Pic, Romain, Dombry, Clément, Naveau, Philippe, Taillardat, Maxime

المساهمون: Laboratoire de Mathématiques de Besançon (UMR 6623) (LMB), Centre National de la Recherche Scientifique (CNRS)-Université de Franche-Comté (UFC), Université Bourgogne Franche-Comté COMUE (UBFC)-Université Bourgogne Franche-Comté COMUE (UBFC), Laboratoire des Sciences du Climat et de l'Environnement Gif-sur-Yvette (LSCE), Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS), Extrèmes : Statistiques, Impacts et Régionalisation (ESTIMR), Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS), Centre national de recherches météorologiques (CNRM), Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire Midi-Pyrénées (OMP), Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales Toulouse (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales Toulouse (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Centre National de la Recherche Scientifique (CNRS), Météo-France, ANR-20-CE40-0025,T-REX,nouveaux challenges pour la prédiction des extremes et sa validation(2020), European Project: 824158,EoCoE-II Horizon 2020

المصدر: ISSN: 0169-2070 ; International Journal of Forecasting ; https://hal.science/hal-03662994Test ; International Journal of Forecasting, In press, ⟨10.1016/j.ijforecast.2022.11.001⟩ ; https://www.sciencedirect.com/science/article/pii/S0169207022001443?via%3DihubTest.

مصطلحات موضوعية: CRPS, Minimax Rate of Convergence, Nearest Neighbor Method, Kernel Method, Probabilistic Forecasting, Distributional Regression, [STAT.TH]Statistics [stat]/Statistics Theory [stat.TH], [MATH.MATH-ST]Mathematics [math]/Statistics [math.ST], [STAT.ML]Statistics [stat]/Machine Learning [stat.ML]

العلاقة: info:eu-repo/grantAgreement//824158/EU/Energy oriented Center of Excellence-II Horizon 2020/EoCoE-II Horizon 2020; hal-03662994; https://hal.science/hal-03662994Test; https://hal.science/hal-03662994v3/documentTest; https://hal.science/hal-03662994v3/file/Preprint_Revision_RegressionCRPS%20%281%29.pdfTest

الإتاحة: https://doi.org/10.1016/j.ijforecast.2022.11.001Test
https://hal.science/hal-03662994Test
https://hal.science/hal-03662994v3/documentTest
https://hal.science/hal-03662994v3/file/Preprint_Revision_RegressionCRPS%20%281%29.pdfTest

المؤلفون: Ranjbar, S, Cantoni, E, Chavez-Demoulin, V, Marra, G, Radice, R, Jaton, K

المصدر: Journal of the Royal Statistical Society. Series C: Applied Statistics (2022) (In press).

مصطلحات موضوعية: distributional regression, extreme values, flu outbreak, outliers

وصف الملف: text

العلاقة: https://discovery.ucl.ac.uk/id/eprint/10147690/2/Marra_Modelling%20the%20extremes%20of%20seasonal%20viruses%20and%20hospital%20congestion.pdfTest; https://discovery.ucl.ac.uk/id/eprint/10147690Test/

الإتاحة: https://discovery.ucl.ac.uk/id/eprint/10147690/2/Marra_Modelling%20the%20extremes%20of%20seasonal%20viruses%20and%20hospital%20congestion.pdfTest
https://discovery.ucl.ac.uk/id/eprint/10147690Test/

المؤلفون: Martins, Rui, Sousa, Bruno d., Kneib, Thomas, Hohberg, Maike, Klein, Nadja, Duarte, Elisa, Rodrigues, Vítor

مصطلحات موضوعية: Copula function, Distributional regression, GJRM, Incomplete data, Menopause, Smoothing

العلاقة: BMC Medical Research Methodology. 2022 Jul 11;22(1):187; https://resolver.sub.uni-goettingen.de/purl?gro-2/112645Test

الإتاحة: https://doi.org/10.1186/s12874-022-01658-xTest
https://resolver.sub.uni-goettingen.de/purl?gro-2/112645Test