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1مورد إلكتروني
مصطلحات الفهرس: Adaptive LASSO, Air quality Lombardy, Functional HDGM, Geostatistical models, Model selection, Penalized maximum likelihood, Article, Text
URL:
https://www.repo.uni-hannover.de/handle/123456789/14296Test https://doi.org/10.1007/s00477-023-02466-5Test
Stochastic Environmental Research and Risk Assessment (SERRA) (Formerly: Stochastic Hydrology and Hydraulics) (2023), online first
1436-3259
1436-3240https://doi.org/10.1007/s00477-023-02466-5Test -
2مورد إلكتروني
مصطلحات الفهرس: Adaptive LASSO, Air quality Lombardy, Functional HDGM, Geostatistical model, Model selection, Penalized maximum likelihood, SECS-S/01 - STATISTICA, SECS-S/02 - STATISTICA PER LA RICERCA SPERIMENTALE E TECNOLOGICA, SECS-S/03 - STATISTICA ECONOMICA, info:eu-repo/semantics/article
URL:
https://hdl.handle.net/10281/415677Test https://link.springer.com/article/10.1007/s00477-023-02466-5Test
info:eu-repo/semantics/altIdentifier/pmid/37362848
info:eu-repo/semantics/altIdentifier/wos/WOS:000989767100002
journal:STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT -
3مورد إلكتروني
المؤلفون: Godbole, Suneeta
المصدر: Metabolites; vol 12, iss 5; 2218-1989
مصطلحات الفهرس: COPD, adaptive LASSO, lung density, metabolomics, article
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4مورد إلكتروني
المؤلفون: Li, Haodong
المصدر: Statistics in medicine; vol 41, iss 12, 2132-2165; 0277-6715
مصطلحات الفهرس: Humans, Models, Statistical, Likelihood Functions, Regression Analysis, Causality, Research Design, Computer Simulation, Machine Learning, causal inference, highly adaptive lasso, machine learning, realistic simulation, targeted learning, Generic health relevance, Statistics, Public Health and Health Services, Statistics & Probability, article
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5مورد إلكتروني
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6مورد إلكتروني
مصطلحات الفهرس: Adaptive lasso, Innovations, Propensity score matching, Tanzania, Value chain analysis, Article, Text
URL:
https://www.repo.uni-hannover.de/handle/123456789/11076Test https://doi.org/10.3390/horticulturae6020032Test
Horticulturae 6 (2020), Nr. 2
2311-7524https://doi.org/10.3390/horticulturae6020032Test -
7مورد إلكتروني
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8مورد إلكتروني
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9مورد إلكتروني
المؤلفون: Smeekes, Stephan
المصدر: International Journal of Forecasting vol.34 (2018) date: 2018-07-01 nr.3 p.408-430 [ISSN 0169-2070]
مصطلحات الفهرس: Forecasting, Lasso, Factor models, High-dimensional data, Cointegration, DYNAMIC FACTOR MODELS, PRINCIPAL COMPONENT ANALYSIS, APPROXIMATE FACTOR MODELS, TIME-SERIES, ADAPTIVE LASSO, LARGE NUMBER, SELECTION, PREDICTORS, SHRINKAGE, AUTOREGRESSIONS, Article
URL:
https://cris.maastrichtuniversity.nl/en/publications/2c197d0d-0f36-4199-8c4d-4be1c9e86fc9Test https://cris.maastrichtuniversity.nl/ws/files/53572602/Smeekes_2018_Macroeconomic_forecasting_using_penalized_regression_methods.pdfTest https://cris.maastrichtuniversity.nl/ws/files/53572602/Smeekes_2018_Macroeconomic_forecasting_using_penalized_regression_methods.pdfTest -
10مورد إلكتروني
المصدر: Biometrika, Vol. 105, no.4, p. 859-872 (2018)