Results 21 to 30 of about 29,887,370 (259)
Repeated Measures Analysis for Functional Data Using Box-Type Approximation
Revstat Statistical Journal, 2019 The repeated measures analysis for functional data is investigated. In the literature, the test statistic for the two-sample problem when data are from the same subject is considered. Unfortunately, the known permutation and bootstrap approximations for
Lukasz Smaga
doaj +1 more source
Robust Classification of Functional and Quantitative Image Data Using Functional Mixed Models [PDF]
, 2012 This paper describes how to perform classification of complex, high-dimensional functional data using the functional mixed model (FMM) framework. The FMM relates a functional response to a set of predictors through functional fixed and random effects ...
Morris, Jeffrey S. +5 more
core +1 more source
A Note on Nonparametric Estimation of Conditional Hazard Quantile Function [PDF]
Journal of Risk Analysis and Crisis Response (JRACR), 2017 In this paper, we study an kernel estimator of the conditional hazard quantile function (CHQF) of a scalar response variable Y given a random variable (rv) X taking values in a semi-metric space and using the proposed estimator based of the kernel ...
El Hadj Hamel, Nadia Kadiri, Abbes Rabhi
doaj +1 more source
, 2016 Pseudomonas is a highly versatile genus containing species that can be harmful to humans and plants while others are widely used for bioengineering and bioremediation.
Koehorst, J.J. (Jasper Jan)
core +1 more source
A Comparison of Spatiotemporal and Functional Kriging Approaches
, 2021 Here we present and compare functional and spatiotemporal (Sp.T.) kriging approaches to predict spatial functional random processes, which can also be viewed as Sp.T. random processes. Comparisons are focused on Sp.T.
Sjöstedt de Luna, Sara, +5 more
core +1 more source
Bayesian Nonparametric Mixture Estimation for Time-Indexed Functional Data in R
Journal of Statistical Software, 2016 We present growfunctions for R that offers Bayesian nonparametric estimation models for analysis of dependent, noisy time series data indexed by a collection of domains.
Terrance D. Savitsky
doaj +1 more source
Promet (Zagreb), 2022 In traffic monitoring data analysis, the magnitude of traffic density plays an important role in determining the level of traffic congestion. This study proposes a data imputation method for spatio-functional principal component analysis (s-FPCA) and ...
Bing Tang, Yao Hu, Huan Chen
doaj +1 more source
Risks, 2018 A functional ARMA-GARCH model for predicting the value-at-risk of the EURUSD exchange rate is introduced. The model implements the yield curve differentials between EUR and the US as exogenous factors. Functional principal component analysis allows us to
Holger Fink, Andreas Fuest, Henry Port
doaj +1 more source
An Overview of Kriging and Cokriging Predictors for Functional Random Fields
Mathematics, 2023 This article presents an overview of methodologies for spatial prediction of functional data, focusing on both stationary and non-stationary conditions.
Ramón Giraldo +2 more
doaj +1 more source
Bi-Smoothed Functional Independent Component Analysis for EEG Artifact Removal
Mathematics, 2021 Motivated by mapping adverse artifactual events caused by body movements in electroencephalographic (EEG) signals, we present a functional independent component analysis based on the spectral decomposition of the kurtosis operator of a smoothed principal
Marc Vidal +2 more
doaj +1 more source