Kernel-based estimation of individual location densities from smartphone data

DOI10.1177/1471082X19870331OpenAlexW4231956407MaRDI QIDQ3386482

Lucia Paci, Francesco Finazzi

Publication date: 4 January 2021

Published in: Statistical Modelling (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1177/1471082x19870331

zbMATH Keywords

spatio-temporal patternslikelihood cross-validationkernel-based estimatorlocation datalocation-based applications

Mathematics Subject Classification ID

Statistics (62-XX)

Uses Software

• KernSmooth
• D-STEM

Cites Work

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• Analysis of spatio-temporal mobile phone data: a case study in the metropolitan area of Milan
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• Limits of Predictability in Human Mobility
• Time-Varying Mixtures of Markov Chains: An Application to Road Traffic Modeling
• Quantifying personal exposure to air pollution from smartphone‐based location data
• Density estimation using non-parametric and semi-parametric mixtures
• Tracking Multiple Targets Using Binary Decisions From Wireless Sensor Networks