Works matching DE "LASSO"

Results: 42

Bayesian adaptive Lasso.

Published in:

Annals of the Institute of Statistical Mathematics, 2014, v. 66, n. 2, p. 221, doi. 10.1007/s10463-013-0429-6

By:

Leng, Chenlei;
Tran, Minh-Ngoc;
Nott, David

Publication type:

Article

Backfitting algorithms for total‐variation and empirical‐norm penalized additive modelling with high‐dimensional data.

Published in:

Stat, 2018, v. 7, n. 1, p. N.PAG, doi. 10.1002/sta4.198

By:

Yang, Ting;
Tan, Zhiqiang

Publication type:

Article

Development and validation of a panel of five proteins as blood biomarkers for early detection of colorectal cancer.

Published in:

Clinical Epidemiology, 2017, v. 13, p. 517, doi. 10.2147/CLEP.S144171

By:

Hongda Chen;
Jing Qian;
Werner, Simone;
Cuk, Katarina;
Knebel, Phillip;
Brenner, Hermann

Publication type:

Article

On Weighted Support Vector Regression.

Published in:

Quality & Reliability Engineering International, 2014, v. 30, n. 6, p. 891, doi. 10.1002/qre.1654

By:

Han, Xixuan;
Clemmensen, Line

Publication type:

Article

Regression modelling on stratified data with the lasso.

Published in:

Biometrika, 2017, v. 104, n. 1, p. 83, doi. 10.1093/biomet/asw065

By:

OLLIER, E.;
VIALLON, V.

Publication type:

Article

A group bridge approach for variable selection.

Published in:

Biometrika, 2009, v. 96, n. 2, p. 339, doi. 10.1093/biomet/asp020

By:

Jian Huang;
Shuange Ma;
Huiliang Xie;
Cun-Hui Zhang

Publication type:

Article

A generalized Dantzig selector with shrinkage tuning.

Published in:

Biometrika, 2009, v. 96, n. 2, p. 323, doi. 10.1093/biomet/asp013

By:

Gareth M. James;
Peter Radchenko

Publication type:

Article

Penalized maximum likelihood estimation with symmetric log-concave errors and LASSO penalty.

Published in:

Communications for Statistical Applications & Methods, 2022, v. 29, n. 6, p. 641, doi. 10.29220/CSAM.2022.29.6.641

By:

Seo-Young Park;
Sunyul Kim;
Byungtae Seo

Publication type:

Article

Post selection shrinkage estimation for high-dimensional data analysis.

Published in:

Applied Stochastic Models in Business & Industry, 2017, v. 33, n. 2, p. 97, doi. 10.1002/asmb.2193

By:

Gao, Xiaoli;
Ahmed, S. E.;
Feng, Yang

Publication type:

Article

Regression shrinkage and selection via the lasso: a retrospective.

Published in:

Journal of the Royal Statistical Society: Series B (Statistical Methodology), 2011, v. 73, n. 3, p. 273, doi. 10.1111/j.1467-9868.2011.00771.x

By:

Tibshirani, Robert

Publication type:

Article

Regularized Logistic Models for Probabilistic Forecasting and Diagnostics.

Published in:

Monthly Weather Review, 2010, v. 138, n. 2, p. 592, doi. 10.1175/2009MWR3126.1

By:

Bröcker, Jochen

Publication type:

Article

ASPECTOS CLÍNICOS E RADIOGRÁFICOS DA COLUNA CERVICAL DE BEZERROS SUBMETIDOS À PROVA DO LAÇO.

Published in:

Ciência Animal Brasileira, 2010, v. 11, n. 1, p. 156, doi. 10.5216/cab.v11i1.4577

By:

Albernaz, Raquel Mincarelli;
Dias, Deborah Penteado Martins;
da Silva, Marco Augusto Giannocaro;
Gomide, Lina Maria Wehrle;
Canola, Julio Carlos;
Neto, José Corrêa Lacerda

Publication type:

Article

The Mechanism of Regulated Release of Lasso/Teneurin-2.

Published in:

Frontiers in Molecular Neuroscience, 2016, p. 1, doi. 10.3389/fnmol.2016.00059

By:

Vysokov, Nickolai V.;
Silva, John-Paul;
Lelianova, Vera G.;
Ho, Claudia;
Djamgoz, Mustafa B.;
Tonevitsky, Alexander G.;
Ushkaryov, Yuri A.

Publication type:

Article

Robust sparse regression by modeling noise as a mixture of gaussians.

Published in:

Journal of Applied Statistics, 2019, v. 46, n. 10, p. 1738, doi. 10.1080/02664763.2019.1566448

By:

Xu, Shuang;
Zhang, Chun-Xia

Publication type:

Article

Variable selection approach for zero-inflated count data via adaptive lasso.

Published in:

Journal of Applied Statistics, 2014, v. 41, n. 4, p. 879, doi. 10.1080/02664763.2013.858672

By:

Zeng, Ping;
Wei, Yongyue;
Zhao, Yang;
Liu, Jin;
Liu, Liya;
Zhang, Ruyang;
Gou, Jianwei;
Huang, Shuiping;
Chen, Feng

Publication type:

Article

Discussion on “Statistical transfer learning: A review and some extensions to statistical process control”.

Published in:

Quality Engineering, 2018, v. 30, n. 1, p. 129, doi. 10.1080/08982112.2018.1388053

By:

Zi, Xuemin;
Zou, Changliang

Publication type:

Article

SPARSE MODELS AND METHODS FOR OPTIMAL INSTRUMENTS WITH AN APPLICATION TO EMINENT DOMAIN.

Published in:

Econometrica, 2012, v. 80, n. 6, p. 2369, doi. 10.3982/ECTA9626

By:

BELLONI, A.;
CHEN, D.;
CHERNOZHUKOV, V.;
HANSEN, C.

Publication type:

Article

Spotlights on our sister journals: ChemCatChem 9/2011.

Published in:: ChemCatChem, 2011, v. 3, n. 9, p. 1380, doi. 10.1002/cctc.201190039
Publication type:: Article

Creating Lasso-Solutions for the Traveling Salesman Problem with Pickup and Delivery.

Published in:

Central European Journal of Operations Research, 2006, v. 14, n. 2, p. 125, doi. 10.1007/s10100-006-0164-7

By:

Hoff, Arild;
Løkketangen, Arne

Publication type:

Article

Habitat functional response mitigates reduced foraging opportunity: implications for animal fitness and space use.

Published in:

Landscape Ecology, 2016, v. 31, n. 9, p. 1939, doi. 10.1007/s10980-016-0372-z

By:

Street, Garrett;
Fieberg, John;
Rodgers, Arthur;
Carstensen, Michelle;
Moen, Ron;
Moore, Seth;
Windels, Steve;
Forester, James

Publication type:

Article

Subject-specific modelling of paired comparison data: A lasso-type penalty approach.

Published in:

Statistical Modelling: An International Journal, 2017, v. 17, n. 3, p. 223, doi. 10.1177/1471082X17693086

By:

Schauberger, Gunther;
Tutz, Gerhard

Publication type:

Article

Least angle regression for model selection.

Published in:

WIREs: Computational Statistics, 2014, v. 6, n. 2, p. 116, doi. 10.1002/wics.1288

By:

Zhang, Hongyang;
Zamar, Ruben H.

Publication type:

Article

Lassoing Skill Through Learner Choice.

Published in:

2018

By:

Wulf, Gabriele;
Iwatsuki, Takehiro;
Machin, Brittney;
Kellogg, Jessica;
Copeland, Clint;
Lewthwaite, Rebecca

Publication type:

journal article

A partial inverse problem for the Sturm-Liouville operator on the lasso-graph.

Published in:

Inverse Problems & Imaging, 2019, v. 13, n. 1, p. 69, doi. 10.3934/ipi.2019004

By:

Yang, Chuan-Fu;
Bondarenko, Natalia Pavlovna

Publication type:

Article

RISK CONSISTENCY OF CROSS-VALIDATION WITH LASSO-TYPE PROCEDURES.

Published in:

Statistica Sinica, 2017, v. 27, n. 3, p. 1017, doi. 10.5705/ss.202015.0355

By:

Homrighausen, Darren;
McDonald, Daniel J.

Publication type:

Article

Using Lasso for Predictor Selection and to Assuage Overfitting: A Method Long Overlooked in Behavioral Sciences.

Published in:

Multivariate Behavioral Research, 2015, v. 50, n. 5, p. 471, doi. 10.1080/00273171.2015.1036965

By:

McNeish, Daniel M.

Publication type:

Article

Selecting the tuning parameter of the l<sub>1</sub> trend filter.

Published in:

Studies in Nonlinear Dynamics & Econometrics, 2016, v. 20, n. 1, p. 97, doi. 10.1515/snde-2014-0089

By:

Hiroshi Yamada;
Gawon Yoon

Publication type:

Article

Modeling and Forecasting Large Realized Covariance Matrices and Portfolio Choice.

Published in:

Journal of Applied Econometrics, 2017, v. 32, n. 1, p. 140, doi. 10.1002/jae.2512

By:

Callot, Laurent A. F.;
Kock, Anders B.;
Medeiros, Marcelo C.

Publication type:

Article

'Lassoing' a phylogenetic tree I: basic properties, shellings, and covers.

Published in:

Journal of Mathematical Biology, 2012, v. 65, n. 1, p. 77, doi. 10.1007/s00285-011-0450-4

By:

Dress, Andreas;
Huber, Katharina;
Steel, Mike

Publication type:

Article

Empirical Performance of Cross-Validation With Oracle Methods in a Genomics Context.

Published in:

American Statistician, 2011, v. 65, n. 4, p. 223, doi. 10.1198/tas.2011.11052

By:

Martinez, Josue G.

Publication type:

Article

High Dimensional Logistic Regression Model using Adjusted Elastic Net Penalty.

Published in:

Pakistan Journal of Statistics & Operation Research, 2015, v. 11, n. 4, p. 667, doi. 10.18187/pjsor.v11i4.990

By:

Algamal, Zakariya Yahya;
Lee, Muhammad Hisyam

Publication type:

Article

Variable Selection by Lasso-Type Methods.

Published in:

Pakistan Journal of Statistics & Operation Research, 2011, v. 7, n. 2, p. 451, doi. 10.18187/pjsor.v7i2-sp.389

By:

Chand, Sohail;
Kamal, Shahid

Publication type:

Article

Large Unbalanced Credit Scoring Using Lasso-Logistic Regression Ensemble.

Published in:

PLoS ONE, 2015, v. 10, n. 2, p. 1, doi. 10.1371/journal.pone.0117844

By:

Wang, Hong;
Xu, Qingsong;
Zhou, Lifeng

Publication type:

Article

Quantification of miRNA-mRNA Interactions.

Published in:

PLoS ONE, 2012, v. 7, n. 2, p. 1, doi. 10.1371/journal.pone.0030766

By:

Muniategui, Ander;
Nogales-Cadenas, Rubén;
Vázquez, Miguél;
Aranguren, Xabier L.;
Agirre, Xabier;
Luttun, Aernout;
Prosper, Felipe;
Pascual-Montano, Alberto;
Rubio, Angel

Publication type:

Article

The Validation and Assessment of Machine Learning: A Game of Prediction from High-Dimensional Data.

Published in:

PLoS ONE, 2009, v. 4, n. 8, p. 1, doi. 10.1371/journal.pone.0006287

By:

Pers, Tune H.;
Albrechtsen, Anders;
Holst, Claus;
Sørensen, Thorkild I. A.;
Gerds, Thomas A.

Publication type:

Article

Regularized Latent Class Model for Joint Analysis of High‐Dimensional Longitudinal Biomarkers and a Time‐to‐Event Outcome.

Published in:

Biometrics, 2019, v. 75, n. 1, p. 69, doi. 10.1111/biom.12964

By:

Sun, Jiehuan;
Zhao, Hongyu;
Herazo‐Maya, Jose D.;
Kaminski, Naftali;
Molyneaux, Philip L.;
Maher, Toby M.

Publication type:

Article

Tilting the lasso by knowledge-based post-processing.

Published in:

BMC Bioinformatics, 2016, v. 17, p. 1, doi. 10.1186/s12859-016-1210-7

By:

Tharmaratnam, Kukatharmini;
Sperrin, Matthew;
Jaki, Thomas;
Reppe, Sjur;
Frigessi, Arnoldo

Publication type:

Article

Robust Lasso Regression Using Tukey's Biweight Criterion.

Published in:

Technometrics, 2018, v. 60, n. 1, p. 36, doi. 10.1080/00401706.2017.1305299

By:

Chang, Le;
Roberts, Steven;
Welsh, Alan

Publication type:

Article

Alternative Penalty Functions for Penalized Likelihood Principal Components.

Published in:

Journal of Applied Statistics, 2007, v. 34, n. 7, p. 767, doi. 10.1080/02664760701239859

By:

Park, Trevor

Publication type:

Article

The accessible lasso models.

Published in:

Statistics, 2017, v. 51, n. 4, p. 711, doi. 10.1080/02331888.2016.1266632

By:

Sepehri, Amir;
Harris, Naftali

Publication type:

Article

Molecular structure of human KATP in complex with ATP and ADP.

Published in:

eLife, 2017, p. 1, doi. 10.7554/eLife.32481

By:

Pak Kin Lee, Kenneth;
Jue Chen;
MacKinnon, Roderick

Publication type:

Article

Introduction to the LASSO.

Published in:

Resonance: Journal of Science Education, 2018, v. 23, n. 4, p. 439, doi. 10.1007/s12045-018-0635-x

By:

Gauraha, Niharika

Publication type:

Article