ROBOUT: a conditional outlier detection methodology for high-dimensional data

Sparse regression for large data sets with outliers

(2021) Lea Bottmer et al.   EUROPEAN JOURNAL OF OPERATIONAL RESEARCH

Cellwise robust M regression

(2020) P. Filzmoser et al.   COMPUTATIONAL STATISTICS & DATA ANALYSIS

Fast Robust Correlation for High-Dimensional Data

(2019) Jakob Raymaekers et al.   TECHNOMETRICS

Robust and sparse estimation methods for high-dimensional linear and logistic regression

(2018) Fatma Sevinç Kurnaz et al.   CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS

Detecting Deviating Data Cells

(2017) Peter J. Rousseeuw et al.   TECHNOMETRICS

Robust Bayesian regression with the forward search: theory and data analysis

(2017) Anthony C. Atkinson et al.   TEST

Robust Bayesian regression with the forward search: theory and data analysis

(2017) Anthony C. Atkinson et al.   TEST

Semismooth Newton Coordinate Descent Algorithm for Elastic-Net Penalized Huber Loss Regression and Quantile Regression

(2016) Congrui Yi et al.   JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS

The shooting S-estimator for robust regression

(2015) Viktoria Öllerer et al.   COMPUTATIONAL STATISTICS

The Forward Search for Very Large Datasets

(2015) Marco Riani et al.   Journal of Statistical Software

Regularization Paths for Generalized Linear Models via Coordinate Descent

(2015) Jerome Friedman et al.   Journal of Statistical Software

Sparse least trimmed squares regression for analyzing high-dimensional large data sets

(2013) Andreas Alfons et al.   Annals of Applied Statistics

Strong rules for discarding predictors in lasso-type problems

(2011) Robert Tibshirani et al.   JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY

Robust Ridge Regression for High-Dimensional Data

(2011) Ricardo A. Maronna   TECHNOMETRICS