Information estimators for weighted observations
type: Item
instance of: scholarly article
title: Information estimators for weighted observations
zbMATH Open document ID: 1296.94056
author: Hideitsu Hino
author: Noboru Murata
published in: Neural Networks
publication date: 2014-10-10T00:00:00Z
full work available at URL: http://hdl.handle.net/2241/120041
Mathematics Subject Classification ID: 94A17
Mathematics Subject Classification ID: 62B10
Mathematics Subject Classification ID: 62F10
zbMATH DE Number: 6353474
zbMATH Keywords: information estimation
zbMATH Keywords: entropy estimation
zbMATH Keywords: weighted data
describes a project that uses: FastICA
describes a project that uses: UCI-ml
describes a project that uses: KernSmooth
describes a project that uses: ElemStatLearn
describes a project that uses: LVQ_PAK
describes a project that uses: rpart
MaRDI profile type: Publication
OpenAlex ID: W2130607673
Wikidata QID: Q45958906
cites work: Q4367308
cites work: Bagging predictors
cites work: Independent component analysis, a new concept?
cites work: Reweighting to Achieve Elliptically Contoured Covariates in Regression
cites work: Q4023085
cites work: Multivariate adaptive regression splines
cites work: A new class of random vector entropy estimators and its applications in testing statistical hypotheses
cites work: Density-free convergence properties of various estimators of entropy
cites work: Uncertainties in facies proportion estimation. I: Theoretical framework: The Dirichlet distribution
cites work: On Smoothing Sparse Multinomial Data
cites work: The elements of statistical learning. Data mining, inference, and prediction
cites work: Sample Selection Bias as a Specification Error
cites work: A Conditional Entropy Minimization Criterion for Dimensionality Reduction and Multiple Kernel Learning
cites work: Q3413299
cites work: Regression Quantiles
cites work: Sample estimate of the entropy of a random vector
cites work: On Information and Sufficiency
cites work: 10.1162/jmlr.2003.4.7-8.1271
cites work: Improved local learning rule for information maximization and related applications
cites work: A Nonparametric Estimate of a Multivariate Density Function
cites work: \(k_n\)-nearest neighbor estimators of entropy
cites work: Q5491447
cites work: Empirical likelihood
cites work: Estimation of Entropy and Mutual Information
cites work: Censored Regression Quantiles
cites work: Estimation With Survey Data Under Nonignorable Nonresponse or Informative Sampling
cites work: A kernel estimator for discrete distributions
cites work: An approximate method for generating asymmetric random variables
cites work: Soft margins for AdaBoost
cites work: A Mathematical Theory of Communication
cites work: Q4679021
cites work: Q3093390
cites work: Q4261789
cites work: Q4865051
cites work: Divergence Estimation for Multidimensional Densities Via $k$-Nearest-Neighbor Distances
cites work: Locally Weighted Censored Quantile Regression
DOI: 10.1016/J.NEUNET.2013.06.005
description: scientific article; zbMATH DE number 6353474