Pointwise probability reinforcements for robust statistical inference

DOI10.1016/j.neunet.2013.11.012zbMath1298.62038OpenAlexW2123125673WikidataQ45958159 ScholiaQ45958159MaRDI QIDQ470187

Benoît Frénay, Michel Verleysen

Publication date: 12 November 2014

Published in: Neural Networks (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.neunet.2013.11.012

zbMATH Keywords

outliersfilteringmaximum likelihoodrobust inferencecleansingprobability reinforcements

Mathematics Subject Classification ID

Ridge regression; shrinkage estimators (Lasso) (62J07) Linear regression; mixed models (62J05) Point estimation (62F10) Bayesian inference (62F15) Robustness and adaptive procedures (parametric inference) (62F35)

Uses Software

• UCI-ml
• PRMLT

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Robust fitting of mixtures using the trimmed likelihood estimator
• Robustness against separation and outliers in logistic regression
• Robust PCA for skewed data and its outlier map
• Outlier identification in high dimensions
• Maximum trimmed likelihood estimator for multivariate mixed continuous and categorical data
• Maximum trimmed likelihood estimators: a unified approach, examples, and algorithms
• Class noise vs. attribute noise: A quantitative study of their impacts
• Weighted least squares support vector machines: robustness and sparse approximation
• Least angle regression. (With discussion)
• A survey of outlier detection methodologies
• Threshold Model for Misclassified Binary Responses with Applications to Animal Breeding
• Probability for Statistics and Machine Learning
• Least Median of Squares Regression
• Outlier..........s
• Trimmed Least Squares Estimation in the Linear Model
• Mixture Models, Outliers, and the EM Algorithm
• Influential Observations in Linear Regression
• Probabilistic Principal Component Analysis
• The weighted likelihood
• Bayesian Reasoning and Machine Learning
• Robust Estimation of a Location Parameter
• Ridge Regression: Biased Estimation for Nonorthogonal Problems
• Robust Statistics

This page was built for publication: Pointwise probability reinforcements for robust statistical inference