Optimally weightedL2distance for functional data

DOI10.1111/biom.12161zbMath1299.62116OpenAlexW2145641621WikidataQ35728744 ScholiaQ35728744MaRDI QIDQ2927600

Philip T. Reiss, Thaddeus Tarpey, Huaihou Chen

Publication date: 4 November 2014

Published in: Biometrics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1111/biom.12161

zbMATH Keywords

penalized splinescoefficient of variationfunctional classifictaion, functional clusteringweighted \(L^2\) distance

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Applications of statistics to biology and medical sciences; meta analysis (62P10) Biomedical imaging and signal processing (92C55)

Related Items (5)

How the formation of amyloid plaques and neurofibrillary tangles may be related: a mathematical modelling study ⋮ Sparse clustering of functional data ⋮ Squeezing the DCT to fight camouflage ⋮ Simulating the effect of formation of amyloid plaques on aggregation of tau protein ⋮ Interval-wise testing for functional data

Uses Software

• R
• SemiPar
• gamair

Cites Work

• Unnamed Item
• Curves discrimination: a nonparametric functional approach
• Functional \(k\)-sample problem when data are density functions
• Clustering functional data
• Local asymptotics for regression splines and confidence regions
• Functional data analysis.
• Nonparametric functional data analysis. Theory and practice.
• Smoothing Parameter Selection for a Class of Semiparametric Linear Models
• On Distance-Based Permutation Tests for Between-Group Comparisons
• Functional Data Analysis with R and MATLAB
• Finding Groups in Data
• Multi-response permutation procedures for a priori classifications
• Semiparametric Regression
• The multivariate L ₁ -median and associated data depth
• Likelihood Ratio Tests in Linear Mixed Models with One Variance Component
• A Framework for Feature Selection in Clustering
• The effect of pre-smoothing functional data on cluster analysis
• Functional Data Analysis for Sparse Longitudinal Data
• Improved Estimation of Dissimilarities by Presmoothing Functional Data

This page was built for publication: Optimally weightedL²distance for functional data