scholarly journals Recent developments in complex and spatially correlated functional data

2020 ◽  
Vol 34 (2) ◽  
pp. 204-229
Author(s):  
Israel Martínez-Hernández ◽  
Marc G. Genton
Keyword(s):  
Functional Data ◽  
Spatially Correlated ◽  
Recent Developments

scholarly journals Hierarchical clustering of spatially correlated functional data

2012 ◽  
Vol 66 (4) ◽  
pp. 403-421 ◽  
Author(s):  
R. Giraldo ◽  
P. Delicado ◽  
J. Mateu
Keyword(s):  
Hierarchical Clustering ◽  
Functional Data ◽  
Spatially Correlated

scholarly journals Bayesian Hierarchical Spatially Correlated Functional Data Analysis with Application to Colon Carcinogenesis

Biometrics ◽  
2007 ◽  
Vol 64 (1) ◽  
pp. 64-73 ◽  
Author(s):  
Veerabhadran Baladandayuthapani ◽  
Bani K. Mallick ◽  
Mee Young Hong ◽  
Joanne R. Lupton ◽  
Nancy D. Turner ◽  
...  
Keyword(s):  
Data Analysis ◽  
Functional Data Analysis ◽  
Functional Data ◽  
Colon Carcinogenesis ◽  
Bayesian Hierarchical ◽  
Spatially Correlated

scholarly journals Reduced Rank Mixed Effects Models for Spatially Correlated Hierarchical Functional Data

2010 ◽  
Vol 105 (489) ◽  
pp. 390-400 ◽  
Author(s):  
Lan Zhou ◽  
Jianhua Z. Huang ◽  
Josue G. Martinez ◽  
Arnab Maity ◽  
Veerabhadran Baladandayuthapani ◽  
...  
Keyword(s):  
Functional Data ◽  
Mixed Effects ◽  
Mixed Effects Models ◽  
Reduced Rank ◽  
Spatially Correlated

An Efficient Nonparametric Estimate for Spatially Correlated Functional Data

2019 ◽  
Vol 11 (1) ◽  
pp. 162-183
Author(s):  
Yuan Wang ◽  
Jianhua Hu ◽  
Kim-Anh Do ◽  
Brian P. Hobbs
Keyword(s):  
Functional Data ◽  
Nonparametric Estimate ◽  
Spatially Correlated

scholarly journals Some Recent Developments in Inference for Geostatistical Functional Data

2019 ◽  
Vol 42 (1) ◽  
pp. 101-122 ◽  
Author(s):  
Piotr Kokoszka ◽  
Matthew Reimherr
Keyword(s):  
Principal Components ◽  
Extreme Value Theory ◽  
Functional Data ◽  
Value Theory ◽  
Extreme Value ◽  
Recent Developments ◽  
Spatial Locations ◽  
Series Of Functions

We review recent developments related to inferencefor functions defined at spatial locations. We also considertime series of functions defined at irregularly distributedspatial points or on a grid. We focus on kriging, estimationof the functional mean and principal components, and significancetesting, giving special attention to testing spatio--temporalseparability in the context of functional data. We also highlightsome ideas related to extreme value theory for spatially indexed functionaltime series.

Analysis of variance for spatially correlated functional data: Application to brain data

2019 ◽  
Vol 32 ◽  
pp. 100381 ◽  
Author(s):  
Jeimy-Paola Aristizabal ◽  
Ramón Giraldo ◽  
Jorge Mateu
Keyword(s):  
Analysis Of Variance ◽  
Functional Data ◽  
Spatially Correlated ◽  
Data Application ◽  
Brain Data

scholarly journals Fast methods for spatially correlated multilevel functional data

Biostatistics ◽  
2010 ◽  
Vol 11 (2) ◽  
pp. 177-194 ◽  
Author(s):  
A.-M. Staicu ◽  
C. M. Crainiceanu ◽  
R. J. Carroll
Keyword(s):  
Functional Data ◽  
Spatially Correlated ◽  
Fast Methods
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