Pages that link to "Item:Q5963520"

The following pages link to Functional data analysis for density functions by transformation to a Hilbert space (Q5963520):

Displaying 49 items.

• Robust functional principal component analysis for non-Gaussian longitudinal data (Q115416) (← links)
• Density estimation with distribution element trees (Q144212) (← links)
• On the Schoenberg transformations in data analysis: theory and illustrations (Q263290) (← links)
• Upper and lower risk bounds for estimating the Wasserstein barycenter of random measures on the real line (Q1657954) (← links)
• Cointegrated linear processes in Bayes Hilbert space (Q1726899) (← links)
• Describing the concentration of income populations by functional principal component analysis on Lorenz curves (Q1733264) (← links)
• Mixture inner product spaces and their application to functional data analysis (Q1747743) (← links)
• Principal component analysis for functional data on Riemannian manifolds and spheres (Q1990583) (← links)
• Additive regression for predictors of various natures and possibly incomplete Hilbertian responses (Q2044344) (← links)
• Monitoring for a change point in a sequence of distributions (Q2054495) (← links)
• Statistical inference on the Hilbert sphere with application to random densities (Q2136620) (← links)
• Locally polynomial Hilbertian additive regression (Q2137056) (← links)
• Concurrent object regression (Q2161189) (← links)
• Functional data analysis in the Banach space of continuous functions (Q2196214) (← links)
• Additive regression with Hilbertian responses (Q2215755) (← links)
• Shape-preserving prediction for stationary functional time series (Q2233562) (← links)
• Wasserstein gradients for the temporal evolution of probability distributions (Q2233565) (← links)
• Wasserstein \(F\)-tests and confidence bands for the Fréchet regression of density response curves (Q2656610) (← links)
• Geodesic PCA versus Log-PCA of Histograms in the Wasserstein Space (Q4610140) (← links)
• Wasserstein autoregressive models for density time series (Q5030950) (← links)
• Additive Functional Regression for Densities as Responses (Q5130639) (← links)
• COINTEGRATION IN FUNCTIONAL AUTOREGRESSIVE PROCESSES (Q5859555) (← links)
• Regression Analysis of Asynchronous Longitudinal Functional and Scalar Data (Q5881130) (← links)
• Asynchronous Functional Linear Regression Models for Longitudinal Data in Reproducing Kernel Hilbert Space (Q6055759) (← links)
• Subgroup analysis for functional partial linear regression model (Q6059461) (← links)
• Point process models for COVID-19 cases and deaths (Q6078125) (← links)
• Bivariate densities in Bayes spaces: orthogonal decomposition and spline representation (Q6089302) (← links)
• Wasserstein Regression (Q6109970) (← links)
• M-LDQ feature embedding and regression modeling for distribution-valued data (Q6122192) (← links)
• Machine learning and optimal transport: some statistical and algorithmic tools (Q6124901) (← links)
• Testing linear operator constraints in functional response regression with incomplete response functions (Q6144422) (← links)
• Spherical autoregressive models, with application to distributional and compositional time series (Q6150520) (← links)
• INFERENCE ON THE DIMENSION OF THE NONSTATIONARY SUBSPACE IN FUNCTIONAL TIME SERIES (Q6156583) (← links)
• A general framework for multivariate functional principal component analysis of amplitude and phase variation (Q6541495) (← links)
• Weighting the domain of probability densities in functional data analysis (Q6541572) (← links)
• Metric statistics: exploration and inference for random objects with distance profiles (Q6550971) (← links)
• Multi-feature clustering of step data using multivariate functional principal component analysis (Q6579416) (← links)
• Hypothesis Testing for Matched Pairs with Missing Data by Maximum Mean Discrepancy: An Application to Continuous Glucose Monitoring (Q6585592) (← links)
• Variable selection for functional additive models and an application to the population age structure data (Q6585934) (← links)
• Latent deformation models for multivariate functional data and time-warping separability (Q6589278) (← links)
• Distribution-on-distribution regression with Wasserstein metric: multivariate Gaussian case (Q6596177) (← links)
• Direct Bayesian linear regression for distribution-valued covariates (Q6597261) (← links)
• On distributional autoregression and iterated transportation (Q6604026) (← links)
• Mean and covariance estimation for discretely observed high-dimensional functional data: rates of convergence and division of observational regimes (Q6615373) (← links)
• Continuous and atlas-free analysis of brain structural connectivity (Q6616322) (← links)
• Functional Outlier Detection for Density-Valued Data with Application to Robustify Distribution-to-Distribution Regression (Q6631140) (← links)
• Multivariate scalar on multidimensional distribution regression with application to modeling the association between physical activity and cognitive functions (Q6649371) (← links)
• Dimension Reduction for Fréchet Regression (Q6651376) (← links)
• Detection and localization of changes in a panel of densities (Q6656668) (← links)