Multivariate functional outlier detection

From MaRDI portal
Publication:497792

DOI10.1007/s10260-015-0297-8zbMath1441.62124OpenAlexW2048159935MaRDI QIDQ497792

Pieter Segaert, Peter J. Rousseeuw, Mia Hubert

Publication date: 25 September 2015

Published in: Statistical Methods and Applications (Search for Journal in Brave)

Full work available at URL: https://lirias.kuleuven.be/handle/123456789/481784



Related Items

Robust functional principal components for sparse longitudinal data, Selection of the number of clusters in functional data analysis, Robust sparse functional regression model, Two-sample tests for multivariate functional data with applications, Optimal sampling for spatial prediction of functional data, Outlier Detection for Pandemic-Related Data Using Compositional Functional Data Analysis, Sparse Functional Boxplots for Multivariate Curves, Illumination Depth, Outlier detection in multivariate functional data through a contaminated mixture model, Choosing among notions of multivariate depth statistics, A notion of depth for sparse functional data, Multivariate and functional classification using depth and distance, Functional outlier detection and taxonomy by sequential transformations, Fréchet distance-based cluster analysis for multi-dimensional functional data, Tests for equality of several covariance matrix functions for multivariate functional data, Unnamed Item, Nonparametric depth and quantile regression for functional data, Robust sieve estimators for functional canonical correlation analysis, Discussion of ``Multivariate functional outlier detection by M. Hubert, P. Rousseeuw and P. Segaert, Discussion of ``Multivariate functional outlier detection, by Mia Hubert, Peter Rousseeuw and Pieter Segaert, M. Hubert, P. Rousseeuw and P. Segaert: ``Multivariate functional outlier detection, Halfspace depths for scatter, concentration and shape matrices, Robust functional regression based on principal components, Identifying and responding to outlier demand in revenue management, Density estimation of a unimodal continuous distribution in the presence of outliers, Directional outlyingness for multivariate functional data, Multivariate Functional Data Visualization and Outlier Detection, On general notions of depth for regression, Robust archetypoids for anomaly detection in big functional data, Discussion of ``Multivariate functional outlier detection, Independent component analysis for multivariate functional data, Depth for curve data and applications, An angle-based multivariate functional pseudo-depth for shape outlier detection, Component-wise outlier detection methods for robustifying multivariate functional samples, A Measure of Directional Outlyingness With Applications to Image Data and Video, Fast Computation of Tukey Trimmed Regions and Median in Dimension p > 2, High-dimensional outlier detection using random projections, A note on variable selection in functional regression via random subspace method, The power of monitoring: how to make the most of a contaminated multivariate sample, One-way MANOVA for functional data via Lawley-Hotelling trace test, Detecting and classifying outliers in big functional data, Discussion of: ``The power of monitoring: how to make the most of a contaminated multivariate sample


Uses Software


Cites Work