Tests for separability in nonparametric covariance operators of random surfaces, Ann. Statist, vol.45, issue.4, pp.1431-1461, 2017. ,
Optimal sampling for spatial prediction of functional data, Stat. Methods Appl, vol.25, issue.1, pp.39-54, 2016. ,
Multivariate functional random fields: prediction and optimal sampling, Stoch. Environ. Res. Risk Assess, vol.31, issue.1, pp.53-70, 2017. ,
A universal kriging approach for spatial functional data, Stoch. Environ. Res. Risk Assess, vol.27, issue.7, pp.1553-1563, 2013. ,
Stringing high-dimensional data for functional analysis, J. Amer. Statist. Assoc, vol.106, issue.493, pp.275-284, 2011. ,
Quantifying infinite-dimensional data: functional data analysis in action, Modern Spatiotemporal Geostatistics, 2000. ,
On spatial conditional mode estimation for a functional regressor, Wiley Series in Probability and Statistics, vol.82, pp.1413-1421, 2011. ,
Spatial mode estimation for functional random fields with application to bioturbation problem, Stoch. Environ. Res. Risk Assess, vol.24, issue.4, pp.487-497, 2010. ,
URL : https://hal.archives-ouvertes.fr/hal-00431794
Statistics for spatial functional data: some recent contributions, Environmetrics, vol.21, pp.3-4, 2010. ,
Ordinary kriging for function-valued spatial data, Environ. Ecol. Stat, vol.18, issue.3, pp.411-426, 2011. ,
Hierarchical clustering of spatially correlated functional data, Stat. Neerl, vol.66, pp.403-421, 2012. ,
Analysis of air quality monitoring networks by functional clustering, Environmetrics, vol.19, issue.7, pp.672-686, 2008. ,
Modern Multivariate Statistical Techniques, Springer Texts in Statistics, 2008. ,
3D Data management: controlling data volume, velocity, and variety, 2011. ,
Functional principal component analysis of spatiotemporal point processes with applications in disease surveillance, J. Amer. Statist. Assoc, vol.109, issue.507, pp.1205-1215, 2014. ,
The statistical analysis of fMRI data, Statist. Sci, vol.23, issue.4, pp.439-464, 2008. ,
Functional principal component analysis of spatially correlated data, Stat. Comput, vol.27, issue.6, pp.1639-1654, 2017. ,
A universal kriging predictor for spatially dependent functional data of a Hilbert space, Electron. J. Stat, vol.7, pp.2209-2240, 2013. ,
Statistical analysis of complex and spatially dependent data: a review of Object Oriented Spatial Statistics, European J. Oper. Res, vol.258, issue.2, pp.401-410, 2017. ,
Cokriging for spatial functional data, J. Multivariate Anal, vol.101, issue.2, pp.409-418, 2010. ,
URL : https://hal.archives-ouvertes.fr/hal-00743881
Functional Data Analysis, second ed, Springer Series in Statistics, 2005. ,
On the performance of two clustering methods for spatial functional data, Adv. Stat. Anal, vol.99, issue.4, pp.467-492, 2015. ,
Spatial spline regression models, J. R. Stat. Soc. Ser. B Stat. Methodol, vol.75, issue.4, pp.681-703, 2013. ,
Bagging voronoi classifiers for clustering spatial functional data, Int. J. Appl. Earth Obs. Geoinf, vol.22, pp.53-64, 2013. ,
Analysis of spatio-temporal mobile phone data: a case study in the metropolitan area of Milan, Stat. Methods Appl, vol.24, issue.2, pp.279-300, 2015. ,
Spatial regression estimation for functional data with spatial dependency, J. Soc. Franc. Statist, vol.155, issue.2, pp.138-160, 2014. ,
URL : https://hal.archives-ouvertes.fr/hal-01015512
Big data analysis using modern statistical and machine learning methods in medicine, Int. Neurourol. J, vol.18, pp.50-57, 2014. ,
Spatially varying coefficient model for neuroimaging data with jump discontinuities, J. Amer. Statist. Assoc, vol.109, issue.507, pp.1084-1098, 2014. ,
Functional principal component model for high-dimensional brain imaging, NeuroImage, vol.58, issue.3, pp.772-784, 2011. ,