• KernSmooth

  • Referenced in 891 articles [sw04586]
  • simplest nonparametric curve estimation setting, namely density and regression estimation. Special attention is given...
  • SPEA2

  • Referenced in 433 articles [sw06686]
  • fine-grained fitness assignment strategy, a density estimation technique, and an enhanced archive truncation method...
  • mclust

  • Referenced in 253 articles [sw00563]
  • Model-Based Clustering, Classification, and Density Estimation , Normal Mixture Modeling fitted via EM algorithm ... Model-Based Clustering, Classification, and Density Estimation, including Bayesian regularization...
  • gss

  • Referenced in 258 articles [sw06099]
  • Smoothing spline ANOVA models Nonparametric function estimation with stochastic data, otherwise known as smoothing ... time data; (ii) density and conditional density estimation under a variety of sampling schemes...
  • wavethresh

  • Referenced in 129 articles [sw06084]
  • series, nonstationary multiscale transfer function modeling, density estimation...
  • ftnonpar

  • Referenced in 67 articles [sw11128]
  • methods in nonparametric regression and density estimation, described in Davies, P. L. and Kovac ... Davies, P. L. and Kovac, A. (2004) Densities, Spectral Densities and Modality Annals of Statistics...
  • sm

  • Referenced in 66 articles [sw12256]
  • Smoothing methods for nonparametric regression and density estimation. This is software linked to the book...
  • logcondens

  • Referenced in 48 articles [sw11215]
  • logcondens: Estimate a Log-Concave Probability Density from iid Observations. Given independent and identically distributed ... compute the maximum likelihood estimator (MLE) of a density as well as a smoothed version ... value of the density and distribution function estimates (MLE and smoothed) at a given point ... been used to illustrate log-concave density estimation are made available...
  • DPpackage

  • Referenced in 60 articles [sw10495]
  • includes models for marginal and conditional density estimation, receiver operating characteristic curve analysis, interval-censored...
  • LogConcDEAD

  • Referenced in 47 articles [sw08080]
  • package LogConcDEAD: Log-concave Density Estimation in Arbitrary Dimensions. Computes a log-concave (maximum likelihood...
  • NDSPMHD

  • Referenced in 42 articles [sw10435]
  • self-consistently derived from the density estimate. We then show how to interpret these equations...
  • WaveThresh4

  • Referenced in 38 articles [sw04496]
  • series, nonstationary multiscale transfer function modeling, density estimation...
  • Mixmod

  • Referenced in 35 articles [sw06991]
  • data set for the purposes of density estimation, clustering or discriminant analysis. A large variety...
  • LS-SVMlab

  • Referenced in 25 articles [sw07367]
  • nonlinear classification, function estimation and density estimation which has also led to many other recent...
  • fdrtool

  • Referenced in 29 articles [sw08196]
  • package contains functions for non-parametric density estimation (Grenander estimator), for monotone regression (isotonic regression...
  • Orca

  • Referenced in 29 articles [sw32638]
  • points where the nearest neighbor density estimate is small...
  • 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 ... RSDE demonstrates a nicer performance in the density accuracy and the computational time compared with ... this shortcoming, a Fast Reduced Set Density Estimator algorithm (FRSDE) is proposed in this study...
  • locfit

  • Referenced in 16 articles [sw07966]
  • package locfit: Local Regression, Likelihood and Density Estimation. Local regression, likelihood and density estimation...
  • WAFO

  • Referenced in 22 articles [sw07370]
  • density of rainflow cycles Sea modelling: Simulation of linear and non-linear Gaussian waves; Estimation ... distributions Statistics: Extreme value analysis; Kernel density estimation, Hidden markov models...
  • decon

  • Referenced in 16 articles [sw11088]
  • model, where the goal is to estimate the density or distribution function from contaminated data ... homoscedastic or heteroscedastic. To make the deconvolution estimators computationally more efficient in R, we adapt ... Fast Fourier Transform” (FFT) algorithm for density estimation with error-free data to the deconvolution...