| Title |
Functional modelling of telecommunications data / |
| Authors |
Birbilas, Algimantas ; Račkauskas, Alfredas |
| DOI |
10.3846/mma.2022.14043 |
| Full Text |
|
| Is Part of |
Mathematical modelling and analysis.. Vilnius : Vilnius Gediminas Technical University. 2022, vol. 27, no. 1, p. 117-133.. ISSN 1392-6292. eISSN 1648-3510 |
| Keywords [eng] |
Functional data analysis ; functional linear regression ; telecommunications data ; prediction |
| Abstract [eng] |
This work deals with statistical modeling and forecasting of telecommunications data. Main mobile traffic events (SMS, Voice calls, Mobile data) are smoothed using B-spline functions and later analyzed in a functional framework. Functional linear auto-regression models are fitted using both bottom-up and topdown design methodologies. The advantages and disadvantages of both approaches for the prediction of mobile telephone users’ habits are discussed. |
| Published |
Vilnius : Vilnius Gediminas Technical University |
| Type |
Journal article |
| Language |
English |
| Publication date |
2022 |
| CC license |
|
