Principal Modes of Variation for Processes with Continuous Sample Curves
From MaRDI portal
Publication:4723055
DOI10.2307/1268982zbMath0615.62074OpenAlexW2037681041MaRDI QIDQ4723055
P. E. Castro, E. A. Sylvestre, W. H. Lawton
Publication date: 1986
Published in: Technometrics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.2307/1268982
eigenfunctionsKarhunen-Loève expansionprincipal modes of variationbest linear modelprincipal components analysis of vector processesprocess with continuous sample curves
Factor analysis and principal components; correspondence analysis (62H25) Inference from stochastic processes (62M99)
Related Items
Functional principal variance component testing for a genetic association study of HIV progression, A survey of functional principal component analysis, Probability-enhanced effective dimension reduction for classifying sparse functional data, Covariate adjusted functional principal components analysis for longitudinal data, Generalized functional linear models, Monitoring Nonlinear Profiles with Random Effects by Nonparametric Regression, Design optimal sampling plans for functional regression models, Simultaneous inference of the mean of functional time series, Robust Functional Principal Component Analysis via a Functional Pairwise Spatial Sign Operator, Dynamic relations for sparsely sampled Gaussian processes, Point process models for COVID-19 cases and deaths, Wasserstein Regression, Modeling Time-Varying Random Objects and Dynamic Networks, Unnamed Item, Approximation of estimators in the PCA of a stochastic process using B-splines, Nonlinear manifold representations for functional data, Methods of canonical analysis for functional data., Explaining functional principal component analysis to actuarial science with an example on vehicle insurance, Functional emulation of high resolution tsunami modelling over cascadia, Time-warped growth processes, with applications to the modeling of boom-bust cycles in house prices, Functional mixture regression, Joint estimation of monotone curves via functional principal component analysis, Mixture inner product spaces and their application to functional data analysis, Some asymptotic theory for Silverman's smoothed functional principal components in an abstract Hilbert space, Principal component analysis for functional data on Riemannian manifolds and spheres, Functional approach of flexibly modelling generalized longitudinal data and survival time, Tolerance bands for functional data, Locally modelled regression and functional data, Conditional Functional Principal Components Analysis, Properties of principal component methods for functional and longitudinal data analysis, Discussion: Forecasting functional time series, Functional data analysis for density functions by transformation to a Hilbert space, Gaussian tree constraints applied to acoustic linguistic functional data, A partition Dirichlet process model for functional data analysis, Functional data analysis for volatility, Shrinkage Estimation for Functional Principal Component Scores with Application to the Population Kinetics of Plasma Folate, Time-Varying Functional Regression for Predicting Remaining Lifetime Distributions from Longitudinal Trajectories, Testing for No Effect in Functional Linear Regression Models, Some Computational Approaches, Discussion of different logistic models with functional data. Application to systemic lupus erythematosus, Interpretable functional principal component analysis, Properties of design-based functional principal components analysis, Forecasting with unequally spaced data by a functional principal component approach, P-spline Estimation of Functional Classification Methods for Improving the Quality in the Food Industry, Self-consistency: A fundamental concept in statistics
Uses Software
