JOURNAL ARTICLE

Quantile regression with group lasso for classification

Hussein HashemVeronica VinciottiRahim AlhamzawiKeming Yu

Year: 2015 Journal:   Advances in Data Analysis and Classification Vol: 10 (3)Pages: 375-390   Publisher: Springer Science+Business Media
Keywords:
Quantile regression Quantile Categorical variable Statistics Mathematics Lasso (programming language) Binary classification Gibbs sampling Regression analysis Regression Bayesian probability Computer science Econometrics Artificial intelligence Support vector machine

Metrics

27
Cited By
3.46
FWCI (Field Weighted Citation Impact)
56
Refs
0.91
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Statistical Methods and Inference
Physical Sciences →  Mathematics →  Statistics and Probability
Bayesian Methods and Mixture Models
Physical Sciences →  Computer Science →  Artificial Intelligence
Advanced Statistical Methods and Models
Physical Sciences →  Mathematics →  Statistics and Probability

Related Documents

JOURNAL ARTICLE

Adaptive sparse group LASSO in quantile regression

Álvaro Méndez-CivietaM. Carmen Aguilera‐MorilloRosa E. Lillo

Journal:   Advances in Data Analysis and Classification Year: 2020 Vol: 15 (3)Pages: 547-573
JOURNAL ARTICLE

Adaptive LASSO quantile regression with fixed effects

Ian Meneghel DanileviczPascal BondonValdério Anselmo Reisen

Journal:   Applied Mathematical Modelling Year: 2025 Vol: 153 Pages: 116600-116600
JOURNAL ARTICLE

Bayesian lasso binary quantile regression

Dries F. BenoitRahim AlhamzawiKeming Yu

Journal:   Computational Statistics Year: 2013 Vol: 28 (6)Pages: 2861-2873
© 2026 ScienceGate Book Chapters — All rights reserved.