Results 311 to 320 of about 33,054,453 (365)

Power and sample size calculation of two-sample projection-based testing for sparsely observed functional data. [PDF]

Stat
Koner S, Luo S.
europepmc   +1 more source

Functional Data Visualization

Wiley StatsRef: Statistics Reference Online, 2020
: This article reviews tools to visualize functional data, that is, curves, surfaces/images, and trajectories. These tools are based on ranking functional data by means of notions of depth/outlyingness and make use of methods for functional outlier ...
M. Genton, Ying Sun
semanticscholar   +2 more sources

Some of the next articles are maybe not open access.

Related searches:

Review on functional data classification

WIREs Computational Statistics, 2023
A fundamental problem in functional data analysis is to classify a functional observation based on training data. The application of functional data classification has gained immense popularity and utility across a wide array of disciplines, encompassing
Shuoyang Wang, Yuan Huang, Guanqun Cao
semanticscholar   +1 more source

Online Estimation for Functional Data

Journal of the American Statistical Association, 2021
Functional data analysis has attracted considerable interest and is facing new challenges, one of which is the increasingly available data in a streaming manner.
Ying Yang, Fang Yao
semanticscholar   +1 more source

Statistics for Functional Data

Computational Statistics & Data Analysis, 2007
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Wenceslao González-Manteiga, Philippe Vieu   +1 more
openaire   +2 more sources

Clustering Functional Data

Journal of Classification, 2003
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Tarpey, Thaddeus, Kinateder, Kimberly
openaire   +4 more sources

Estimating the covariance function with functional data

British Journal of Mathematical and Statistical Psychology, 2002
This paper describes a two‐step procedure for estimating the covariance function and its eigenvalues and eigenfunctions in situations where the data are curves or functions. The first step produces initial estimates of eigenfunctions using a standard principal components analysis.
Sik-Yum, Lee, Wenyang, Zhang, Xin-Yuan, Song   +2 more
openaire   +2 more sources

FUNCTIONAL ANALYSIS FOR PARAMETRIC FAMILIES OF FUNCTIONAL DATA

International Journal of Bifurcation and Chaos, 2012
Assuming a Parametric Family of Functional Data, the problem of computing summary statistics of the same functional form is investigated. The central idea is to compile the statistics on the parameters instead of on the functions themselves. With the hypothesis of a monotonic dependence from parameters, we highlight the special features of this ...
DE SANCTIS, Angela Anna, DI BATTISTA, Tonio   +1 more
openaire   +2 more sources

A Depth Function for Geostatistical Functional Data

2015
In this paper we introduce a depth measure for geostatistical functional data. The aim is to provide a tool which allows to get a center-outward ordering of functional data recorded by sensors placed on a geographic area. Although the topic of ordering functional data has already been addressed in the literature, no proposal analyzes the case in which ...
BALZANELLA, Antonio, ROMANO, Elvira
openaire   +1 more source