• LIBSVM

  • Referenced in 1124 articles [sw04879]
  • theoretical convergence multiclass classification probability estimates and parameter selection are discussed in detail: http://dl.acm.org...
  • abc

  • Referenced in 40 articles [sw14871]
  • several ABC algorithms for performing parameter estimation, model selection, and goodness-of-fit. Cross-validation...
  • mgcv

  • Referenced in 87 articles [sw07751]
  • estimation. Routines for GAMs and other generalized ridge regression with multiple smoothing parameter selection...
  • gss

  • Referenced in 282 articles [sw06099]
  • sampling schemes; and (iii) hazard rate estimation with censored life time data and covariates ... devoted to model construction, smoothing parameter selection, computation, and asymptotic convergence. Most of the computational...
  • Monolix

  • Referenced in 13 articles [sw06988]
  • this software is to perform: parameter estimation, model selection, goodness of fit plots and, data...
  • acebayes

  • Referenced in 12 articles [sw20243]
  • found for the goals of parameter estimation, model selection and prediction...
  • msgl

  • Referenced in 10 articles [sw26552]
  • group lasso penalty. Simultaneous feature selection and parameter estimation for classification. Suitable for high dimensional...
  • decon

  • Referenced in 20 articles [sw11088]
  • kernel estimation. Several methods for the selection of the data-driven smoothing parameter are also ... Wang, X.F. and Wang, B. (2011). Deconvolution estimation in measurement error models: The R package...
  • PYGMALION

  • Referenced in 5 articles [sw08297]
  • sensitivity analysis, uncertainty analysis, parameter estimation, model selection or data assimilation can be used...
  • APPLE

  • Referenced in 4 articles [sw13354]
  • superior results in both variable selection and parameter estimation. A new algorithm, APPLE, is proposed...
  • ContaminatedMixt

  • Referenced in 11 articles [sw21014]
  • obtain maximum likelihood parameter estimates, and likelihood-based model selection criteria are used to select...
  • SparseFIS

  • Referenced in 11 articles [sw13736]
  • some rules (rule selection). The third phase estimates the linear consequent parameters by a regularized ... force linear parameters to be 0, triggering a feature-selection mechanism per rule. Global feature...
  • mombf

  • Referenced in 3 articles [sw15463]
  • Inverse Moment Bayes Factors. Model selection and parameter estimation based on non-local priors. Routines ... factors, marginal densities and to perform variable selection in regression setups. Routines to evaluate prior...
  • ABC-SysBio

  • Referenced in 6 articles [sw24739]
  • biological processes are model selection and the estimation of associated parameters. A number of statistical ... package, ABC-SysBio, that implements parameter inference and model selection for dynamical systems...
  • relaxo

  • Referenced in 2 articles [sw26421]
  • linear regression. Both variable selection and parameter estimation is achieved by regular Lasso, yet both...
  • Bolasso

  • Referenced in 28 articles [sw31649]
  • Bolasso: model consistent Lasso estimation through the bootstrap. We consider the least-square linear regression ... parameter, we compute asymptotic equivalents of the probability of correct model selection (i.e., variable selection ... rate decay, we show that the Lasso selects all the variables that should enter ... tending to one exponentially fast, while it selects all other variables with strictly positive probability...
  • Arlequin

  • Referenced in 5 articles [sw11442]
  • equilibrium, departure from selective neutrality and demographic equilibrium, estimation or parameters from past population expansions...
  • PyMultiNest

  • Referenced in 2 articles [sw28457]
  • Bayesian inference technique, it allows parameter estimation and model selection. (find out more ... efficient Monte Carlo algorithm for sampling the parameter space is based on nested sampling...
  • NPsimex

  • Referenced in 5 articles [sw11305]
  • bandwidth parameter and the estimate is determined by appropriately selecting ”design points”. See details...
  • bvptwp.m

  • Referenced in 9 articles [sw10030]
  • mesh selection strategy based on the estimation of the local error and the estimation ... parameters which characterize the conditioning of the problem. The codes twpbvp.f/tpbvpc.f use a deferred correction...