Biclustering analysis of functionals via penalized fusion

DOI10.1016/j.jmva.2021.104874zbMath1493.62381OpenAlexW3208994061MaRDI QIDQ2078535

Kuangnan Fang, Yuanxing Chen, Shuangge Ma, Qing-Zhao Zhang

Publication date: 1 March 2022

Published in: Journal of Multivariate Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jmva.2021.104874

zbMATH Keywords

functional databiclusteringpenalized fusion

Mathematics Subject Classification ID

Functional data analysis (62R10) Classification and discrimination; cluster analysis (statistical aspects) (62H30)

Related Items

Functional data clustering via information maximization

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Distributed Optimization and Statistical Learning via the Alternating Direction Method of Multipliers
• Feature screening for time-varying coefficient models with ultrahigh-dimensional longitudinal data
• Nearly unbiased variable selection under minimax concave penalty
• An introduction to recent advances in high/infinite dimensional statistics
• Bayesian clustering of functional data using local features
• Distance-based clustering of sparsely observed stochastic processes, with applications to online auctions
• Quantile regression in partially linear varying coefficient models
• The dimensionality reduction principle for generalized additive models
• Clustering longitudinal profiles using P-splines and mixed effects models applied to time-course gene expression data
• Model-based clustering for multivariate functional data
• Cluster analysis of longitudinal profiles with subgroups
• Recent advances in functional data analysis and high-dimensional statistics
• Weak convergence and empirical processes. With applications to statistics
• Functional data clustering: a survey
• Subgroup analysis for heterogeneous additive partially linear models and its application to car sales data
• Spline-backfitted kernel smoothing of nonlinear additive autoregression model
• On the Performance of Clustering in Hilbert Spaces
• Unsupervised Curve Clustering using B‐Splines
• Variable Selection via Nonconcave Penalized Likelihood and its Oracle Properties
• Clustering for Sparsely Sampled Functional Data
• Nonparametric modelling for functional data: selected survey and tracks for future
• Functional Clustering and Identifying Substructures of Longitudinal Data
• Correlation-Based Functional Clustering via Subspace Projection
• Estimation and variable selection for semiparametric additive partial linear models
• Convergence of a block coordinate descent method for nondifferentiable minimization