• KernSmooth

  • Referenced in 919 articles [sw04586]
  • recovery of the underlying structure in data sets without the imposition of a parametric model ... concentrate on the simplest nonparametric curve estimation setting, namely density and regression estimation. Special attention...
  • nlmdl

  • Referenced in 116 articles [sw27811]
  • nonlinear regression model and generalized least squares estimates for a multivariate nonlinear regression model ... both. Other options can be set to correct variance estimates for heteroskedasticity and/or serial correlation...
  • impute

  • Referenced in 99 articles [sw14376]
  • value estimation for DNA microarrays. Motivation: Gene expression microarray experiments can generate data sets with ... increase the range of data sets to which these algorithms can be applied. In this ... report, we investigate automated methods for estimating missing data. Results: We present a comparative study ... several methods for the estimation of missing values in gene microarray data. We implemented...
  • STABLE

  • Referenced in 107 articles [sw04843]
  • random variates. It also performs maximum likelihood estimation of stable parameters and some exploratory data ... data set. This work is described in the paper ”Maximum likelihood estimation of stable parameters...
  • LAPACK

  • Referenced in 1647 articles [sw00503]
  • reordering of the Schur factorizations and estimating condition numbers. Dense and banded matrices are handled ... exploit the Level 3 BLAS — a set of specifications for Fortran subprograms that do various...
  • FRSDE

  • Referenced in 15 articles [sw08762]
  • FRSDE: Fast reduced set density estimator using minimal enclosing ball approximation. Reduced Set Density Estimator ... used to replace the classical Parzen Window estimator (PW) for saving the computational cost. Though ... model weighting coefficients on large data sets. In order ... overcome this shortcoming, a Fast Reduced Set Density Estimator algorithm (FRSDE) is proposed in this...
  • plm

  • Referenced in 23 articles [sw08020]
  • Linear Models for Panel Data. A set of estimators and tests for panel data...
  • gss

  • Referenced in 282 articles [sw06099]
  • Smoothing spline ANOVA models Nonparametric function estimation with stochastic data, otherwise known as smoothing ... univariate smoothing, ones practical in multivariate settings number far less. Smoothing spline ANOVA models ... time data; (ii) density and conditional density estimation under a variety of sampling schemes...
  • Amos

  • Referenced in 60 articles [sw06515]
  • estimates of model parameters. Offers various data imputation methods—to create different data sets...
  • PAES

  • Referenced in 93 articles [sw04159]
  • set because it maintains an archive of nondominated solutions which it exploits to estimate accurately...
  • BKZ

  • Referenced in 60 articles [sw10242]
  • security estimates. For instance, our simulation suggests that the smallest NTRUSign parameter set, which...
  • ecp

  • Referenced in 16 articles [sw21075]
  • included. All methods return the set of estimated change- points as well as other summary...
  • Mixmod

  • Referenced in 36 articles [sw06991]
  • given data set for the purposes of density estimation, clustering or discriminant analysis. A large...
  • SVMlight

  • Referenced in 261 articles [sw04076]
  • they are conservatively biased. Almost unbiased estimates provides leave-one-out testing. SVMlight exploits that ... examples, so that it orders a new set of objects as accurately as possible. Such...
  • saery

  • Referenced in 26 articles [sw11943]
  • saery: Small Area Estimation for Rao and Yu Model. A complete set of functions...
  • reccv

  • Referenced in 35 articles [sw26388]
  • these estimators should be used to analyse real data sets, a detailed practical step...
  • KrigInv

  • Referenced in 11 articles [sw15933]
  • Experiments. Criteria and algorithms for sequentially estimating level sets of a multivariate numerical function, possibly...
  • ScaLAPACK

  • Referenced in 407 articles [sw00830]
  • tridiagonal linear systems of equations, condition estimation and iterative refinement, for LU and Cholesky factorization ... computers, example programs, and the full set of LAPACK Working Notes...
  • missForest

  • Referenced in 29 articles [sw19483]
  • imputation error estimate without the need of a test set or elaborate cross-validation...
  • EigenPrism

  • Referenced in 10 articles [sw21947]
  • high dimensional (p>n) regression estimator, the linear regression noise level and the genetic signal ... intervals, including a comparison with a Bayesian setting in which our interval is just ... apply EigenPrism to a genetic data set to estimate the genetic signal-to-noise ratio...