• SSS

• Referenced in 38 articles [sw07794]
• Shotgun stochastic search for “Large p” regression Model search in regression with very large numbers ... ineffective. We describe a novel shotgun stochastic search (SSS) approach that explores ”interesting” regions...

• BayesS5

• Referenced in 1 article [sw18681]
• BayesS5: Bayesian Variable Selection Using Simplified Shotgun Stochastic Search with Screening ... algorithm that is called the Simplified Shotgun Stochastic Search (S5) and aimed at rapidly explore...

• Mosek

• Referenced in 509 articles [sw04618]
• MOSEK is a tool for solving mathematical optimization...

• glasso

• Referenced in 510 articles [sw07432]
• The graphical lasso: new insights and alternatives. The...

• Scikit

• Referenced in 630 articles [sw08058]
• Scikit-learn: machine learning in python. Scikit-learn...

• hierNet

• Referenced in 43 articles [sw09625]
• hierNet: A Lasso for Hierarchical Interactions. Fits sparse...

• Python

• Referenced in 2164 articles [sw14460]
• Python is a widely used high-level, general...

• MaCH

• Referenced in 7 articles [sw17274]
• MaCH: Using sequence and genotype data to estimate...

• HdBCS

• Referenced in 81 articles [sw29884]
• HdBCS - High-dimensional Bayesian Covariance Selection. This site...

• EMVS

• Referenced in 40 articles [sw31733]
• R package EMVS: The Expectation-Maximization Approach to...

• bgsmtr

• Referenced in 3 articles [sw34186]
• R package bgsmtr: Bayesian Group Sparse Multi-Task...