• LogitBoost

  • Referenced in 18 articles [sw08543]
  • problem for the past decade applied model selection criteria to estimate the stopping iteration ... detection method on the values of model selection criteria during the training stage. This method...
  • ContaminatedMixt

  • Referenced in 19 articles [sw21014]
  • likelihood parameter estimates, and likelihood-based model selection criteria are used to select the model...
  • SVM Toolbox

  • Referenced in 9 articles [sw14742]
  • support a range of training algorithms, model selection criteria...
  • BAS

  • Referenced in 8 articles [sw24118]
  • Clyde (2015) . Other model selection criteria include AIC, BIC and Empirical Bayes estimates ... updated based on the sampled models using Sampling w/out Replacement or an efficient MCMC algorithm...
  • qtlbim

  • Referenced in 7 articles [sw17320]
  • problem of model selection. Various model selection criteria have been proposed, primarily ... most popular criterion for Bayesian model selection and model comparison but has not been applied...
  • HMMmix

  • Referenced in 5 articles [sw13500]
  • algorithm can be adapted to infer the model parameters. For the initialization step, starting from ... states is proposed. Three likelihood-based criteria to select the components to be combined ... number of hidden states, BIC-like criteria are derived. A simulation study is carried ... between the combining criteria and the model selection criteria and to evaluate the accuracy...
  • BayesLCA

  • Referenced in 10 articles [sw16118]
  • included, as well as criteria to aid model selection...
  • capushe

  • Referenced in 5 articles [sw28004]
  • Slope HEuristics. Calibration of penalized criteria for model selection. The calibration methods available are based...
  • IMIFA

  • Referenced in 3 articles [sw20290]
  • analytic covariance structures without recourse to model selection criteria to choose the number of clusters ... latent factors, mostly via efficient Gibbs updates. Model-specific diagnostic tools are also provided...
  • MARSS

  • Referenced in 3 articles [sw23275]
  • bootstrapping, Kalman filtering and smoothing, bootstrap model selection criteria (AICb), confidences intervals via the Hessian ... estimation for a variety of applications, model selection, dynamic factor analysis, outlier and shock detection...
  • MuMIn

  • Referenced in 11 articles [sw20887]
  • Model Inference. Model selection and model averaging based on information criteria (AICc and alike...
  • coseq

  • Referenced in 2 articles [sw41337]
  • means algorithm, and model selection criteria (to choose an appropriate number of clusters) are provided...
  • CAPUSHE

  • Referenced in 62 articles [sw13365]
  • Slope heuristics: overview and implementation. Model selection is a general paradigm which includes many statistical ... promising data-driven method to calibrate such criteria whose penalties are known...
  • longQDA

  • Referenced in 1 article [sw20397]
  • motivating applications. First, we compare two model selection criteria for determining the most appropriate univariate ... incorrect decision. The first criterion selects the model structure that yields the best classification performance...
  • RuleFit

  • Referenced in 1 article [sw20934]
  • also a wider variety of model selection criteria from which to choose for selecting...
  • gRapHD

  • Referenced in 7 articles [sw14378]
  • provides tools for selecting trees, forests and decomposable models minimizing information criteria such...
  • bikm1

  • Referenced in 1 article [sw39430]
  • numbers of clusters. Then, the studied model selection criteria are the integrated completed likelihood...
  • ISAAP

  • Referenced in 10 articles [sw07468]
  • preferences. Model-based Decision Support Systems (DSSs) often use multi-criteria optimization for selecting Pareto...
  • MixMoGenD

  • Referenced in 6 articles [sw08624]
  • model selection problem. The competing models are compared using penalized maximum likelihood criteria. Under weak ... associated algorithm named mixture model for genotype data (MixMoGenD) has been implemented using C++ programming ... avoid an exhaustive search of the optimum model, we propose a modified Backward-Stepwise algorithm ... enables a better search of the optimum model among all possible cardinalities...
  • IPSSIS

  • Referenced in 14 articles [sw07158]
  • support system for equity portfolio construction and selection A fundamental principle of modern portfolio theory ... between portfolios are generally made using two criteria, corresponding to the first two moments ... According to this model and according to most of the portfolio models derived from ... that are dominated. In other words, these models do not solve for one optimal portfolio...