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Smoothing ADMM for Sparse-Penalized Quantile Regression with Non-Convex Penalties

Referentgranskad
Öppen tillgång
DOI
10.1109/OJSP.2023.3344395
Mirzaeifard, Reza; Venkategowda, Naveen K.D.; Gogineni, Vinay Chakravarthi; Werner, Stefan
IEEE Open journal of Signal Processing2023

Overview of LASSO-related penalized regression methods for quantitative trait mapping and genomic selection

Referentgranskad
DOI
10.1007/s00122-012-1892-9
Li Z.; Sillanpää MJ
Theoretical and applied genetics2012

Overview of LASSO-related penalized regression methods for quantitative trait mapping and genomic selection

Referentgranskad
DOI
10.1007/s00122-012-1892-9
Li, Zitong; Sillanpää, Mikko J.
Theoretical and Applied Genetics2012

Adaptive Lasso based on joint M-estimation of regression and scale

Referentgranskad
DOI
10.1109/EUSIPCO.2016.7760637
Ollila, Esa
European Signal Processing Conference2016

Solutions to problems of nonexistence of parameter estimates and sparse data bias in Poisson regression

Referentgranskad
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DOI
10.1177/09622802211065405
Joshi, Ashwini; Geroldinger, Angelika; Jiricka, Lena; Senchaudhuri, Pralay; Corcoran, Christopher; H...
Statistical Methods in Medical Research2022

A penalized method for multivariate concave least squares with application to productivity analysis

Referentgranskad
DOI
10.1016/j.ejor.2016.08.026
Keshvari, Abolfazl
European Journal of Operational Research2017

Shrinkage Estimation via Penalized Least Squares in Linear Regression with an Application to Hip Fracture Treatment Costs

Referentgranskad
Liski Antti; Liski Erkki; Häkkinen Unto
World Scientific2013

Robust multi-outcome regression with correlated covariate blocks using fused LAD-lasso

Referentgranskad
Öppen tillgång
DOI
10.1080/02664763.2024.2414346
Möttönen, Jyrki; Lähderanta, Tero; Salonen, Janne; Sillanpää, Mikko J.
Journal of applied statistics2024

Penalized least squares model averaging

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Liski Erkki; Liski Antti
Centrum Wiskunde & Informatica (CWI)2012

Convex support vector regression

Referentgranskad
Öppen tillgång
DOI
10.1016/j.ejor.2023.05.009
Liao, Zhiqiang; Dai, Sheng; Kuosmanen, Timo
European journal of operational research2023

Smoothing ADMM for Sparse-Penalized Quantile Regression with Non-Convex Penalties

Referentgranskad
Öppen tillgång
DOI
10.1109/OJSP.2023.3344395
2023

Overview of LASSO-related penalized regression methods for quantitative trait mapping and genomic selection

Referentgranskad
DOI
10.1007/s00122-012-1892-9
2012

Overview of LASSO-related penalized regression methods for quantitative trait mapping and genomic selection

Referentgranskad
DOI
10.1007/s00122-012-1892-9
2012

Adaptive Lasso based on joint M-estimation of regression and scale

Referentgranskad
DOI
10.1109/EUSIPCO.2016.7760637
2016

Solutions to problems of nonexistence of parameter estimates and sparse data bias in Poisson regression

Referentgranskad
Öppen tillgång
DOI
10.1177/09622802211065405
2022

A penalized method for multivariate concave least squares with application to productivity analysis

Referentgranskad
DOI
10.1016/j.ejor.2016.08.026
2017

Shrinkage Estimation via Penalized Least Squares in Linear Regression with an Application to Hip Fracture Treatment Costs

Referentgranskad
2013

Robust multi-outcome regression with correlated covariate blocks using fused LAD-lasso

Referentgranskad
Öppen tillgång
DOI
10.1080/02664763.2024.2414346
2024

Penalized least squares model averaging

Öppen tillgång
2012

Convex support vector regression

Referentgranskad
Öppen tillgång
DOI
10.1016/j.ejor.2023.05.009
2023