• glasso

  • Referenced in 347 articles [sw07432]
  • dual of the graphical lasso penalized likelihood, by block coordinate ascent; a result which...
  • gss

  • Referenced in 252 articles [sw06099]
  • unifying themes are the general penalized likelihood method and the construction of multivariate models with...
  • Stan

  • Referenced in 151 articles [sw10200]
  • with MCMC sampling (NUTS, HMC) and penalized maximum likelihood estimation with Optimization (BFGS). Stan...
  • hgam

  • Referenced in 73 articles [sw11201]
  • numerical convergence properties, for optimizing the penalized likelihood. Furthermore, we provide oracle results which yield ... adaptive version of our sparsity-smoothness penalized approach yields large additional performance gains...
  • frailtypack

  • Referenced in 38 articles [sw06070]
  • Frailty models using a semi_parametric penalized likelihood estimation or a parametric estimation , Frailtypack ... classes of frailty models using a penalized likelihood estimation on the hazard function but also...
  • rms

  • Referenced in 80 articles [sw04532]
  • right-censored responses, and implements penalized maximum likelihood estimation for logistic and ordinary linear models...
  • ape

  • Referenced in 47 articles [sw04569]
  • trees using mean path lengths and penalized likelihood. Phylogeny estimation can be done with...
  • VGAM

  • Referenced in 79 articles [sw04490]
  • models and distribution by maximum likelihood estimation (MLE) or penalized MLE. Also fits constrained ordination...
  • RStan

  • Referenced in 39 articles [sw13990]
  • inference via variational approximation, and (optionally penalized) maximum likelihood estimation via optimization. In all three...
  • BradleyTerry2

  • Referenced in 17 articles [sw09554]
  • Model fitting is either by maximum likelihood, by penalized quasi-likelihood (for models which involve...
  • rstan

  • Referenced in 15 articles [sw16103]
  • inference via variational approximation, and (optionally penalized) maximum likelihood estimation via optimization. In all three...
  • SSS

  • Referenced in 29 articles [sw07794]
  • above the traditional dimension penalization implicit in Bayesian and likelihood analyses, and parallel computation using...
  • PROC LOGISTIC

  • Referenced in 8 articles [sw12078]
  • binary and nominal response data. The maximum likelihood estimation is carried out with either ... perform the bias-reducing penalized likelihood optimization as discussed by Firth (1993) and Heinze...
  • APPLE

  • Referenced in 4 articles [sw13354]
  • APPLE: approximate path for penalized likelihood estimators. In high-dimensional data analysis, penalized likelihood estimators ... calculating the Approximate Path for Penalized Likelihood Estimators. Both convex penalties (such as LASSO ... computes the solution path for the penalized likelihood estimator using a hybrid of the modified...
  • msgl

  • Referenced in 10 articles [sw26552]
  • algorithm computes the sparse group lasso penalized maximum likelihood estimate. Use of parallel computing...
  • scam

  • Referenced in 5 articles [sw15787]
  • matrix, printing and plotting the results. Penalized likelihood maximization based on Newton-Raphson method...
  • histogram

  • Referenced in 5 articles [sw20396]
  • Combining regular and irregular histograms by penalized likelihood. A new fully automatic procedure...
  • PHMPL

  • Referenced in 3 articles [sw29636]
  • program for hazard estimation using a penalized likelihood method with interval-censored and left-truncated ... function which maximizes a penalized likelihood, and the solution is approximated using splines. The smoothing...
  • SmoothHazard

  • Referenced in 4 articles [sw14710]
  • maximization in the parametric approach or penalized likelihood maximization in the semi-parametric approach...
  • MixMoGenD

  • Referenced in 5 articles [sw08624]
  • competing models are compared using penalized maximum likelihood criteria. Under weak assumptions on the penalty...