Pages that link to "Item:Q1581774"

The following pages link to Linear processes in function spaces. Theory and applications (Q1581774):

Displaying 50 items.

• A partition Dirichlet process model for functional data analysis (Q2040661) (← links)
• Detecting structural breaks in eigensystems of functional time series (Q2044328) (← links)
• Additive regression for predictors of various natures and possibly incomplete Hilbertian responses (Q2044344) (← links)
• Two-sample functional linear models with functional responses (Q2059459) (← links)
• Functional test for high-dimensional covariance matrix, with application to mitochondrial calcium concentration (Q2065270) (← links)
• On the robustification of the kernel estimator of the functional modal regression (Q2070619) (← links)
• Oracle-efficient estimation for functional data error distribution with simultaneous confidence band (Q2072397) (← links)
• On functional data analysis and related topics (Q2078520) (← links)
• Fourier-type tests of mutual independence between functional time series (Q2078533) (← links)
• Change point analysis of covariance functions: a weighted cumulative sum approach (Q2078538) (← links)
• Resolvent estimators for functional autoregressive processes with random coefficients (Q2078551) (← links)
• Consistently recovering the signal from noisy functional data (Q2078554) (← links)
• On projection methods for functional time series forecasting (Q2078562) (← links)
• Classification from only positive and unlabeled functional data (Q2078746) (← links)
• Lagged covariance and cross-covariance operators of processes in Cartesian products of abstract Hilbert spaces (Q2084461) (← links)
• Testing subspace restrictions in the presence of high dimensional nuisance parameters (Q2084475) (← links)
• Infinite-dimensional divergence information analysis (Q2087076) (← links)
• Prediction in functional regression with discretely observed and noisy covariates (Q2101386) (← links)
• Uniform consistency and uniform in number of neighbors consistency for nonparametric regression estimates and conditional \(U\)-statistics involving functional data (Q2103273) (← links)
• Estimating the conditional distribution in functional regression problems (Q2106779) (← links)
• Preprocessing noisy functional data: a multivariate perspective (Q2106796) (← links)
• On consistency and sparsity for high-dimensional functional time series with application to autoregressions (Q2108488) (← links)
• Dimension reduction for functional data based on weak conditional moments (Q2119221) (← links)
• Estimation in partially observed functional linear quantile regression (Q2121208) (← links)
• Detecting relevant differences in the covariance operators of functional time series: a sup-norm approach (Q2121444) (← links)
• Missing responses at random in functional single index model for time series data (Q2122835) (← links)
• Spatial Cox processes in an infinite-dimensional framework (Q2125481) (← links)
• Bias reduction by projection on parametric models in Hilbertian nonparametric regression (Q2132015) (← links)
• In-game win probabilities for the National Rugby League (Q2135357) (← links)
• Finite sample theory for high-dimensional functional/scalar time series with applications (Q2136615) (← links)
• Statistical inference on the Hilbert sphere with application to random densities (Q2136620) (← links)
• Locally polynomial Hilbertian additive regression (Q2137056) (← links)
• Functional kernel estimation of the conditional extreme value index under random right censoring (Q2138238) (← links)
• Expectile regression for spatial functional data analysis (sFDA) (Q2142464) (← links)
• Tests for circular symmetry of complex-valued random vectors (Q2161024) (← links)
• Nonparametric regression for locally stationary functional time series (Q2161186) (← links)
• Frequency domain theory for functional time series: variance decomposition and an invariance principle (Q2175006) (← links)
• Dynamic partially functional linear regression model (Q2176345) (← links)
• Oracally efficient estimation for dense functional data with holiday effects (Q2177735) (← links)
• Testing for lack-of-fit in functional regression models against general alternatives (Q2189112) (← links)
• Convergence rate of kernel regression estimation for time series data when both response and covariate are functional (Q2189762) (← links)
• Functional data analysis in the Banach space of continuous functions (Q2196214) (← links)
• On the optimal reconstruction of partially observed functional data (Q2196241) (← links)
• Asymptotics and practical aspects of testing normality with kernel methods (Q2201553) (← links)
• A similarity measure for second order properties of non-stationary functional time series with applications to clustering and testing (Q2214256) (← links)
• Testing for stationarity of functional time series in the frequency domain (Q2215748) (← links)
• Additive regression with Hilbertian responses (Q2215755) (← links)
• Functional ARCH and GARCH models: a Yule-Walker approach (Q2219213) (← links)
• A note on exponential inequalities in Hilbert spaces for spatial processes with applications to the functional kernel regression model (Q2223166) (← links)
• Estimation of partial derivative functionals with application to human mortality data analysis (Q2236594) (← links)