• RidgeFusion

  • Referenced in 2 articles [sw27161]
  • fusion for inverse matrix estimation, as well as tuning parameter selection functions. We have also...
  • RankMerging

  • Referenced in 1 article [sw29980]
  • complexity, its robustness to feature selection and parameter estimation and discuss its area of relevance...
  • ROCKET

  • Referenced in 11 articles [sw30016]
  • propose ROCKET, a novel procedure for estimating parameters in the latent inverse covariance matrix ... mild assumptions, without relying on oracle model selection results. ROCKET requires the same number ... necessary for obtaining a (sqrt{n}) consistent estimator of an element in the precision matrix...
  • MRCE

  • Referenced in 1 article [sw18485]
  • Multivariate Regression with Covariance Estimation. Compute and select tuning parameters for the MRCE estimator proposed...
  • Mixnet

  • Referenced in 9 articles [sw22900]
  • propose various algorithms to estimate the model’s parameters as well as probabilities of class ... also propose a statistical criterion to select the number of classes. A complete description...
  • RM-MEDA

  • Referenced in 35 articles [sw08554]
  • propose a regularity model-based multiobjective estimation of distribution algorithm (RM-MEDA) for continuous multiobjective ... model thus built. A nondominated sorting-based selection is used for choosing solutions ... MEDA is not sensitive to algorithmic parameters, and has good scalability to the number...
  • ibr

  • Referenced in 7 articles [sw11227]
  • smoothness of the true regression function. Our estimator is easily computed by successive application ... smoothers (without the need of selecting an optimal smoothing parameter), such as thin-plate spline ... moderate sample size n≤1000. Moreover our estimator is still useful when...
  • S-timator

  • Referenced in 1 article [sw25276]
  • parameter scanning. Parameter estimation and model selection: given experimental data in the form of time ... ranges, built-in numerical optimizers can find parameter values and assist you in the experimental...
  • PEAS

  • Referenced in 1 article [sw14778]
  • Parameter Estimation Accuracy Software, performs both the estimation and the accuracy analysis, using a user ... data, provide an initial parameter guess and select an estimation method. PEAS provides several model...
  • MARSS

  • Referenced in 2 articles [sw23275]
  • MARSS package provides maximum-likelihood parameter estimation for constrained and unconstrained linear multivariate autoregressive state ... bootstrapping, Kalman filtering and smoothing, bootstrap model selection criteria (AICb), confidences intervals via the Hessian ... using MARSS for parameter estimation for a variety of applications, model selection, dynamic factor analysis...
  • FinCovRegularization

  • Referenced in 2 articles [sw14857]
  • soft- thresholding. The tuning parameters of these regularized estimators are selected via cross-validation...
  • vir

  • Referenced in 1 article [sw37284]
  • glmnet while simultaneously providing superior parameter estimation and variable selection. Hence, our package...
  • QICD

  • Referenced in 13 articles [sw19679]
  • package QICD. Estimate the Coefficients for Non-Convex Penalized Quantile Regression Model by using QICD ... median, which ensures fast computation. Tuning parameter selection is based on two different method...
  • TeachingSampling

  • Referenced in 1 article [sw11939]
  • TeachingSampling: Selection of Samples and Parameter Estimation in Finite Population. Allows the user to draw...
  • flm

  • Referenced in 2 articles [sw28185]
  • simultaneously selects important predictors and produces smooth estimates in a function-on-scalar linear model ... Hilbert space. To select important predictors while also producing smooth parameter estimates, we utilize operators ... very fast algorithm for computing the estimators, which is based on a functional coordinate descent ... written in C++. Asymptotic properties of the estimators are developed and simulations are provided...
  • allesfitter

  • Referenced in 1 article [sw39370]
  • radial velocity data. Allesfitter offers a rich selection of orbital and transit/eclipse models, accommodating multiple ... Processes. It features both parameter estimation and Bayesian model selection, allowing to easily run either...
  • misaem

  • Referenced in 2 articles [sw32291]
  • Covariates. Estimate parameters of logistic regression with missing data and perform model selection, using algorithm...
  • CriteriaWorkCorr

  • Referenced in 1 article [sw37302]
  • Working Correlation Structure in SAS. The generalized estimating equations (GEE) method is popular for analyzing ... method since an improper selection sometimes results in inefficient parameter estimates. In this paper ... Gosho, Hamada, and Yoshimura (2011) for selecting the working correlation structure when the GEE method...
  • Filzbach

  • Referenced in 2 articles [sw13096]
  • Bayesian parameter estimation, maximum likelihood analysis, priors, latents, hierarchies, error propagation and model selection, from...
  • COMODE

  • Referenced in 3 articles [sw36145]
  • motif PWMs. The parameters of this extended model are estimated by maximum likelihood using ... based cross-validation is used to select model parameters such as motif width and constraint...