المؤلفون: Sakshi Kaushik, Alka Sabharwal, Gurprit Grover

المصدر: Statistics in Transition New Series. 23:129-152

مصطلحات موضوعية: adaptive LASSO, Statistics and Probability, ddc:519, mental disorder, group LASSO, severity of an illness, random forest imputation, ridge regression, multicollinearity, Statistics, Probability and Uncertainty

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2c8bd95ac5213e0481fe8d8fd796b465Test
https://doi.org/10.2478/stattrans-2022-0020Test

المؤلفون: Haodong Li, Sonali Rosete, Jeremy Coyle, Rachael V. Phillips, Nima S. Hejazi, Ivana Malenica, Benjamin F. Arnold, Jade Benjamin‐Chung, Andrew Mertens, John M. Colford, Mark J. der Laan, Alan E. Hubbard

المصدر: Statistics in medicine, vol 41, iss 12

مصطلحات موضوعية: FOS: Computer and information sciences, Statistics and Probability, Likelihood Functions, Models, Statistical, Epidemiology, Statistics & Probability, Statistics, realistic simulation, Statistical, Methodology (stat.ME), Causality, Machine Learning, Models, Research Design, highly adaptive lasso, Public Health and Health Services, Humans, Regression Analysis, Computer Simulation, Generic health relevance, causal inference, Statistics - Methodology, targeted learning

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d2ee3fc9836fed803994374a690a071cTest
https://escholarship.org/uc/item/90s412n6Test

المؤلفون: Ebna Mannan, Imtiaz

المصدر: Theses and Dissertations

مصطلحات موضوعية: Adaptive LASSO, Bayesian LASSO, Bootstrap Interval, Confidence Interval Coverage, De-sparsified LASSO, High-dimensional Penalized Regression, Statistics and Probability

وصف الملف: application/pdf

العلاقة: https://scholarcommons.sc.edu/etd/6758Test; https://scholarcommons.sc.edu/context/etd/article/7592/viewcontent/EbnaMannan_sc_0202M_18107.pdfTest

الإتاحة: https://scholarcommons.sc.edu/etd/6758Test
https://scholarcommons.sc.edu/context/etd/article/7592/viewcontent/EbnaMannan_sc_0202M_18107.pdfTest

المؤلفون: Valentin Courgeau, Almut E. D. Veraart

مصطلحات موضوعية: Statistics and Probability, 62F12, 62F86, 62-09, Statistics & Probability, Central limit theorem, Adaptive Lasso, MODELS, Mathematics - Statistics Theory, Ornstein-Uhlenbeck processes, Statistics Theory (math.ST), VOLATILITY MATRIX ESTIMATION, Lévy process, FOS: Mathematics, DISTRIBUTIONS, Uniqueness, COVARIANCE, Mathematics, Discrete mathematics, Science & Technology, Stochastic volatility, 0104 Statistics, Estimator, Ornstein–Uhlenbeck process, Directed graph, DRIVEN, Continuous-time likelihood, ERGODICITY, STATISTICS, Multivariate Levy process, Graphical modelling, Physical Sciences, Maximum likelihood estimator, Graph (abstract data type)

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0aa4b8cfd1295c0fcf6926fc4897e3e3Test
http://hdl.handle.net/10044/1/91465Test

المؤلفون: Van Erp, Sara, Oberski, Daniel L., Mulder, Joris, Leerstoel Klugkist, Methodology and statistics for the behavioural and social sciences

المساهمون: Leerstoel Klugkist, Methodology and statistics for the behavioural and social sciences

المصدر: Journal of Mathematical Psychology, 89, 31. Academic Press Inc.

مصطلحات موضوعية: shrinkage priors, ADAPTIVE LASSO, INFORMATION, Computer science, Overfitting, Social and Behavioral Sciences, computer.software_genre, 0302 clinical medicine, Sociology, Taverne, Physical Sciences and Mathematics, Psychology, Statistics::Methodology, General Psychology, Shrinkage, Computer Sciences, Applied Mathematics, 05 social sciences, Quantitative Psychology, Regression, FOS: Sociology, FOS: Psychology, REGULARIZATION, regression, HORSESHOE, Penalization, Statistics and Probability, Statistics::Theory, penalization, Bayesian probability, MODELS, Feature selection, Empirical Bayes, Machine learning, Bayesian, 050105 experimental psychology, Normal distribution, 03 medical and health sciences, Statistics::Machine Learning, Frequentist inference, Prior probability, 0501 psychology and cognitive sciences, empirical bayes, Shrinkage priors, business.industry, FREQUENTIST, Statistics::Computation, bayesian, Artificial intelligence, business, computer, 030217 neurology & neurosurgery, VARIABLE-SELECTION

وصف الملف: image/pdf

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4ed86355653a0fc0890764ac58840d89Test
https://doi.org/10.1016/j.jmp.2018.12.004Test

المؤلفون: Michela Battauz

المصدر: Multivariate behavioral research. 55(6)

مصطلحات موضوعية: Statistics and Probability, Mathematical optimization, Psychometrics, Computer science, Experimental and Cognitive Psychology, Overfitting, 01 natural sciences, Regularization (mathematics), 010104 statistics & probability, 0504 sociology, Arts and Humanities (miscellaneous), Lasso (statistics), Surveys and Questionnaires, Item response theory, Adaptation, Psychological, Reaction Time, Humans, Computer Simulation, multidimensional, 0101 mathematics, Adaptive lasso, lasso, Estimation, polytomous responses, Models, Statistical, Model selection, 05 social sciences, 050401 social sciences methods, item response theory, Polytomous Rasch model, General Medicine, Models, Theoretical, fused lasso, collapse, Research Design, Multidimensional Scaling Analysis, Algorithms, Numerical stability

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dd6a40c2e296d58d1cfce93b9596c62aTest
https://pubmed.ncbi.nlm.nih.gov/31682150Test

المؤلفون: Ernst Wit, Mirko Signorelli

المساهمون: Stochastic Studies and Statistics

المصدر: Journal of the Royal Statistical Society: Series C
Journal of the Royal Statistical Society. Series C: Applied Statistics, 67(2), 355-369. Wiley
Journal of the Royal Statistical Society: Series C, 67(2), 355-369

مصطلحات موضوعية: FOS: Computer and information sciences, SELECTION, Statistics and Probability, Theoretical computer science, Parliament, Computer science, Chamber of Deputies, media_common.quotation_subject, Stochastic block model, ORACLE PROPERTIES, Inference, Network, LASSO, EXPONENTIAL-FAMILY, Statistics - Applications, 01 natural sciences, LIKELIHOOD, 010104 statistics & probability, Politics, Exponential family, 050602 political science & public administration, Applications (stat.AP), Adaptive lasso, 0101 mathematics, Bill cosponsorship, media_common, Social and Information Networks (cs.SI), 05 social sciences, Community structure, DIRECTED-GRAPHS, Computer Science - Social and Information Networks, Directed graph, NETWORKS, 0506 political science, BLOCKMODELS, Penalized likelihood, Statistics, Probability and Uncertainty

وصف الملف: application/pdf

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3769dda4b41ae524bc7d1be33cdffe50Test
https://doi.org/10.1111/rssc.12234Test

المؤلفون: Rong Jiang, Wei-Min Qian

المصدر: Statistics & Probability Letters. 110:305-317

مصطلحات موضوعية: Single-index-coefficient regression model, Statistics and Probability, Polynomial regression, Statistics::Theory, Proper linear model, 05 social sciences, Local regression, Adaptive LASSO, Regression analysis, 01 natural sciences, Statistics::Computation, Quantile regression, Nonparametric regression, 010104 statistics & probability, 0502 economics and business, Statistics, Econometrics, Statistics::Methodology, 0101 mathematics, Statistics, Probability and Uncertainty, Segmented regression, Regression diagnostic, 050205 econometrics, Mathematics

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3131b047481dc44bfccba3713b06c465Test
https://doi.org/10.1016/j.spl.2015.09.022Test

المؤلفون: Changryong Baek, Richard A. Davis, Vladas Pipiras

المصدر: Electron. J. Statist. 12, no. 2 (2018), 4377-4411

مصطلحات موضوعية: Statistics and Probability, Estimation, Multivariate statistics, adaptive lasso, dimension reduction, Dimensionality reduction, 05 social sciences, Structure (category theory), 01 natural sciences, 010104 statistics & probability, Autoregressive model, Dynamic factor, 0502 economics and business, periodic vector autoregressive (PVAR) model, Applied mathematics, 62M10, 62H12, 050207 economics, 0101 mathematics, Statistics, Probability and Uncertainty, Time series, Mathematics, Dynamic factor model, 62H20

وصف الملف: application/pdf

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c8b2d457f822ece80476db22389b1074Test
https://projecteuclid.org/euclid.ejs/1545123627Test

المؤلفون: J. Sunil Rao, Hongmei Liu

المصدر: Electron. J. Statist. 11, no. 1 (2017), 640-681

مصطلحات موضوعية: Statistics and Probability, FOS: Computer and information sciences, model selection, Feature selection, Adaptive LASSO, Overfitting, Machine learning, computer.software_genre, adaptive Elastic-Net, Methodology (stat.ME), 62J07, Lasso (statistics), Dimension (vector space), Convergence (routing), Statistics - Methodology, Mathematics, business.industry, Model selection, Estimator, Bootstrapping (electronics), bootstrapping, Artificial intelligence, Statistics, Probability and Uncertainty, business, computer, Algorithm

وصف الملف: application/pdf

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5a490c23d3be9df56412b96def78934dTest
https://projecteuclid.org/euclid.ejs/1488531638Test