Results 61 to 70 of about 33,054,453 (365)
Recent advances in functional data analysis and high-dimensional statistics
Journal of Multivariate Analysis, 2019 This paper provides a structured overview of the contents of this Special Issue of the Journal of Multivariate Analysis devoted to Functional Data Analysis and Related Topics, along with a brief survey of the field.
Germán Aneiros +4 more
semanticscholar +1 more source
Nonparametric Regression Based on Discretely Sampled Curves
Revstat Statistical Journal, 2020 In the context of nonparametric regression, we study conditions under which the consistency (and rates of convergence) of estimators built from discretely sampled curves can be derived from the consistency of estimators based on the unobserved whole ...
Liliana Forzani +2 more
doaj +1 more source
DAIMI Report Series, 1978 This paper introduces a new, simple definition of what a data type is. This definition gives one possible solution of the theoretical problems: when can an actual parameter of type T be substituted for a formal parameter of type T'? When can a type T' be implemented as another type T''?
openaire +2 more sources
, 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
Functional Analysis of Variance: An Application to Stock Exchange
Cumhuriyet Science JournalThe concept of "functional data" allows for the representation of data collected repeatedly over a period of time as a continuous function within a specific range on the time axis, rather than as discrete measurement points.
Selin Öğütcü, Nuri Çelik
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
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
Genome Medicine, 2019 Variants of uncertain significance represent a massive challenge to medical genetics. Multiplexed functional assays, in which the functional effects of thousands of genomic variants are assessed simultaneously, are increasingly generating data that can ...
Hannah Gelman +11 more
semanticscholar +1 more source
Principal component analysis for functional data on Riemannian manifolds and spheres [PDF]
Annals of Statistics, 2017 Functional data analysis on nonlinear manifolds has drawn recent interest. Sphere-valued functional data, which are encountered for example as movement trajectories on the surface of the earth, are an important special case.
Xiongtao Dai, H. Muller
semanticscholar +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