TY  - JOUR 
AU  - Mariñas del Collado, Irene
AU  - Sipols, Ana E.
AU  - Santos Martín, María Teresa
AU  - Frutos Bernal, Elisa
PY  - 2022
SN  - 1029-0354
SN  - 0308-1060
UR  - http://hdl.handle.net/10366/161141
AB  - [EN]Dynamic factor models are a powerful technique for analysing vast volumes of data, more precisely, time series. However, the large volumes of data that come from public transport networks tend to have heterogeneity and a cluster structure. In this...
LA  - eng
PB  - Taylor and Francis Group
KW  - Time series
KW  - Forecasting
KW  - Dynamic factor models
KW  - Dependency measures
KW  - Public transport
TI  - Forecasting using dynamic factor models with cluster structure at Barcelona subway stations
DO  - 10.1080/03081060.2022.2142588
T2  - Transportation Planning and Technology
VL  - 45
M2  - 671
ER  -