Discussion of the paper ``Analysis of spatio-temporal mobile phone data: a case study in the metropolitan area of Milan
DOI10.1007/s10260-015-0311-1zbMath1441.62820OpenAlexW2024181350MaRDI QIDQ497821
Publication date: 25 September 2015
Published in: Statistical Methods and Applications (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s10260-015-0311-1
dimension reductionbasis functionsGaussian random fieldsspatially dependent functional dataspatio-temporal stochastic models
Applications of statistics to economics (62P20) Inference from spatial processes (62M30) Functional data analysis (62R10) Classification and discrimination; cluster analysis (statistical aspects) (62H30)
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Cites Work
- Analysis of spatio-temporal mobile phone data: a case study in the metropolitan area of Milan
- Nonstationary covariance modeling for incomplete data: Monte Carlo EM approach
- Reduced-rank spatio-temporal modeling of air pollution concentrations in the multi-ethnic study of atherosclerosis and air pollution
- Advanced Statistical Methods for the Analysis of Large Data-Sets
- Gaussian Predictive Process Models for Large Spatial Data Sets
- The Lifting Scheme: A Construction of Second Generation Wavelets
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