• 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...