Results 281 to 290 of about 33,300,374 (339)

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

Clustering Functional Data

Journal of Classification, 2003
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Tarpey, Thaddeus, Kinateder, Kimberly
openaire   +3 more sources

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   +1 more source

Cluster non‐Gaussian functional data

Biometrics, 2020
AbstractGaussian distributions have been commonly assumed when clustering functional data. When the normality condition fails, biased results will follow. Additional challenges occur as the number of the clusters is often unknown a priori. This paper focuses on clustering non‐Gaussian functional data without the prior information of the number of ...
Qingzhi Zhong, Huazhen Lin, Yi Li
openaire   +3 more sources

Statistics for Functional Data

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

Integrating functional genomics data

Biochemical Society Transactions, 2003
Functional annotation of fully sequenced genomes is still a major issue. High-throughput data sets could be used to provide more and better functional annotations. However differences in data quality need to be taken into account. For this purpose these high-throughput data sets need to be integrated so that the data quality can be assessed, hypotheses
P, Kemmeren, F C P, Holstege
openaire   +2 more sources

Nonparametric modelling for functional data: selected survey and tracks for future

Statistics (Berlin), 2018
Nonparametric functional data analysis is a field whose development started some 15 years ago and there is a very extensive literature on the topic (hundreds of papers published now).
N. Ling, P. Vieu
semanticscholar   +1 more source

Integrating Functional Genomics Data

2008
The revolution in high throughput biology experiments producing genome-scale data has heightened the challenge of integrating functional genomics data. Data integration is essential for making reliable inferences from functional genomics data, as the datasets are neither error-free nor comprehensive.
Insuk, Lee, Edward M, Marcotte
openaire   +2 more sources

Clustering Geostatistical Functional Data

2011
In this paper, we among functional data. A first strategy aims to classify curves spatially dependent and to obtain a spatio-functional model prototype for each cluster. It is based on a Dynamic Clustering Algorithm with on an optimization problem that minimizes the spatial variability among the curves in each cluster. A second one looks simultaneously
ROMANO, Elvira, VERDE, Rosanna
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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