Analysis of Telecom Italia mobile phone data by space-time regression with differential regularization
Keywords
Statistical learning
Code:
54/2020
Title:
Analysis of Telecom Italia mobile phone data by space-time regression with differential regularization
Date:
Thursday 23rd July 2020
Author(s):
Arnone, E.; Bernardi, M. S.; Sangalli, L. M.; Secchi, P.
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Abstract:
We apply spatio-temporal regression with partial differential equation regularization to the Telecom Italia mobile phone data. The technique proposed allows to include specific information on the phenomenon under study through a definition of the non-stationary anisotropy characterizing the spatial regularization based on the texture of the domain on which the data are observed.
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Arnone, E., Bernardi, M. S., Sangalli, L. M., Secchi, P. (2020, June). Analysis of Telecom Italia Mobile Phone Data by Space-time Regression with Differential Regularization. In International Workshop on Functional and Operatorial Statistics (pp. 5-10). Springer, Cham.
Arnone, E., Bernardi, M. S., Sangalli, L. M., Secchi, P. (2020, June). Analysis of Telecom Italia Mobile Phone Data by Space-time Regression with Differential Regularization. In International Workshop on Functional and Operatorial Statistics (pp. 5-10). Springer, Cham.