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1
المؤلفون: Lorenzo Camponovo, Constantin Roth, Francesco Audrino
المصدر: Quantitative Finance and Economics, Vol 1, Iss 4, Pp 363-387 (2017)
مصطلحات موضوعية: adaptive lasso, jel:C63, Realized variance, Lag, Inference, Feature selection, 01 natural sciences, realized volatility, 010104 statistics & probability, Lasso (statistics), lcsh:Finance, lcsh:HG1-9999, 0502 economics and business, Economics, Econometrics, lag structure, Realized volatility, Adaptive lasso, HAR model, Test for false positives, Lag structure, 0101 mathematics, test for false positives, 050205 econometrics, Mathematics, Estimation theory, lcsh:T57-57.97, 05 social sciences, jel:C12, General Medicine, Stock market index, jel:C58, Autoregressive model, lcsh:Applied mathematics. Quantitative methods, Volatility (finance)
الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::922bb6394245c6fa119d32e43a8767e1Test
https://doi.org/10.3934/qfe.2017.4.363Test -
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المؤلفون: Sangjin Kim, Abhijeet R Patil
المصدر: Mathematics, Vol 8, Iss 1, p 110 (2020)
Mathematics
Volume 8
Issue 1مصطلحات موضوعية: Elastic net regularization, Clustering high-dimensional data, adaptive lasso, Computer science, General Mathematics, Feature selection, ensembles, 01 natural sciences, 010104 statistics & probability, 03 medical and health sciences, feature selection, gene expression data, resampling, mcp, Resampling, Computer Science (miscellaneous), 0101 mathematics, lasso, Engineering (miscellaneous), high-throughput, 030304 developmental biology, 0303 health sciences, business.industry, lcsh:Mathematics, Regression analysis, Pattern recognition, Minimax, lcsh:QA1-939, elastic net, Regression, Artificial intelligence, scad, business, Scad
وصف الملف: application/pdf
الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::042330fa9fae6f12e608391fd3fac702Test
https://www.mdpi.com/2227-7390/8/1/110Test -
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المؤلفون: Xu Wang, JinRong Wang, Michal Fečkan
المصدر: Mathematics, Vol 8, Iss 1, p 37 (2020)
Mathematics
Volume 8
Issue 1مصطلحات موضوعية: adaptive lasso method, General Mathematics, bp neural network models, Population, Broad money, 02 engineering and technology, 01 natural sciences, Gross domestic product, 010104 statistics & probability, Goods and services, Lasso (statistics), 0202 electrical engineering, electronic engineering, information engineering, Computer Science (miscellaneous), Econometrics, 0101 mathematics, education, Engineering (miscellaneous), Mathematics, Consumption (economics), education.field_of_study, Artificial neural network, lcsh:Mathematics, predict model, lcsh:QA1-939, Summary statistics, group of seven, 020201 artificial intelligence & image processing
وصف الملف: application/pdf
الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::754945b9ad14d5fa3e51ab606298b2dbTest
https://www.mdpi.com/2227-7390/8/1/37Test -
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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 -
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المؤلفون: Etienne Wijler, Stephan Smeekes
المساهمون: QE Econometrics, RS: GSBE Theme Data-Driven Decision-Making, RS: GSBE other - not theme-related research
المصدر: International Journal of Forecasting, 34(3), 408-430. Elsevier Science
مصطلحات موضوعية: Clustering high-dimensional data, APPROXIMATE FACTOR MODELS, SELECTION, Statistics::Theory, ADAPTIVE LASSO, Computer science, TIME-SERIES, Factor structure, 01 natural sciences, Factor models, 010104 statistics & probability, Statistics::Machine Learning, Lasso (statistics), 0502 economics and business, Econometrics, Statistics::Methodology, 0101 mathematics, Business and International Management, PREDICTORS, AUTOREGRESSIONS, 050205 econometrics, Factor analysis, Penalized regression, Cointegration, 05 social sciences, DYNAMIC FACTOR MODELS, Statistics::Computation, High-dimensional data, LARGE NUMBER, Macroeconomic forecasting, Principal component analysis, PRINCIPAL COMPONENT ANALYSIS, SHRINKAGE, Lasso, Forecasting
وصف الملف: application/pdf
الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e94d80125a831c74d9911cfd5d9b36c3Test
https://linkinghub.elsevier.com/retrieve/pii/S0169207018300074Test -
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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), 355-369مصطلحات 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 -
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المؤلفون: Bei Yu, Bingqing Lin
المصدر: IET Cyber-Physical Systems (2017)
مصطلحات موضوعية: computational efficiency, lcsh:Computer engineering. Computer hardware, polynomials, Computer Networks and Communications, Computer science, building management systems, 020209 energy, lcsh:TK7885-7895, environmental parameters, 02 engineering and technology, 010501 environmental sciences, computer.software_genre, 01 natural sciences, lcsh:QA75.5-76.95, parameter identification, building performance simulation, statistical analysis, Lasso (statistics), environmental factors, Artificial Intelligence, energy consumption, automatic parameter selection, 0202 electrical engineering, electronic engineering, information engineering, higher order polynomial, uncertainty handling, smart building uncertainty analysis, Electrical and Electronic Engineering, Building energy simulation, Uncertainty analysis, 0105 earth and related environmental sciences, Building automation, Building management system, adaptive Lasso, Estimation theory, business.industry, building energy consumption, quadratic polynomial, Energy consumption, Quadratic function, physical parameters, Computer Science Applications, lcsh:Electronic computers. Computer science, Data mining, parameter estimation, business, computer, Information Systems
الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d48b92e50cae9c5c3e4fb083ba7760c6Test
https://doi.org/10.1049/iet-cps.2017.0011Test -
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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 -
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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 -
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المصدر: Kallestrup-Lamb, M, Kock, A B & Kristensen, J T 2016, ' Lassoing the Determinants of Retirement ', Econometric Reviews, vol. 35, no. 8-10, pp. 1522-1561 . https://doi.org/10.1080/07474938.2015.1092803Test
Kallestrup-Lamb, M, Kock, A B & Kristensen, J T 2013 ' Lassoing the Determinants of Retirement ' Institut for Økonomi, Aarhus Universitet, Aarhus .مصطلحات موضوعية: Economics and Econometrics, Adaptive Lasso, Logistic regression, Retirement, Register data, High-dimensional data, Lasso, Adaptive Lasso, Oracle property, Logistic regression, 01 natural sciences, Danish, 010104 statistics & probability, Lasso (statistics), Order (exchange), 0502 economics and business, Economics, 050207 economics, 0101 mathematics, Socioeconomic status, Retirement, Actuarial science, 05 social sciences, language.human_language, High-dimensional data, Spouse, Scale (social sciences), language, Register data, Marital status, Lasso, Oracle property
وصف الملف: application/pdf
الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::25fd59c06cd4384eca709270a4683c2fTest
https://pure.au.dk/ws/files/121834845/Post_print_Kallestrup_Lamb_2016_Lassoing_the_determinants_of_retirement.pdfTest