Estimation of spatial econometric linear models with large datasets: How big can spatial Big Data be? G Arbia, C Ghiringhelli, A Mira Regional Science and Urban Economics 76, 67-73, 2019 | 27 | 2019 |
Population distribution over time: Modelling local spatial dependence with a CAR process I Epifani, C Ghiringhelli, R Nicolini Spatial Economic Analysis 15 (2), 120-144, 2020 | 13 | 2020 |
Recursive estimation of the spatial error model C Ghiringhelli, G Piras, G Arbia, A Mira Geographical Analysis 55 (1), 90-106, 2023 | 5 | 2023 |
Modelling nonstationary spatial lag models with hidden Markov random fields C Ghiringhelli, F Bartolucci, A Mira, G Arbia Spatial Statistics 44, 100522, 2021 | 5 | 2021 |
Effects of Confidentiality‐Preserving Geo‐Masking on the Estimation of Semivariogram and of the Kriging Variance G Arbia, C Ghiringhelli, V Nardelli Geographical Analysis 55 (3), 466-481, 2023 | 2 | 2023 |
La social leadership ei virtual team C Ghiringhelli, A Lazazzara L'ecosistema della formazione. Allargare i confini per ridisegnare lo …, 2019 | 1 | 2019 |
La blockchain e la certificazione delle competenze C Ghiringhelli REFERENCE, 2023 | | 2023 |
Estimating Uncertainty in Epidemic Models: An Application to COVID-19 Pandemic in Italy G Arbia, V Nardelli, C Ghiringhelli The Economics of COVID-19, 105-116, 2022 | | 2022 |
Can you unlearn? A reflection on the conceptual and cognitive foundations of organization systems theory S Maccioni, C Ghiringhelli | | 2022 |
IoT in the hospitality industry: exploring theoretical and practical implications G Ennas, C Ghiringhelli, F Virili TOURISM STUDIES ON THE MEDITERRANEAN REGION, 55-74, 2022 | | 2022 |
Il problema è come pensiamo al problema: Gestire le tensioni con il pensiero paradossale G Ennas, C Ghiringhelli, F Virili PROSPETTIVE IN ORGANIZZAZIONE 16 (16), 1-7, 2021 | | 2021 |
Incertezza e tensioni nel cambiamento organizzativo: Implicazioni per la pratica manageriale da un caso nel settore del parcel delivery S Maccioni, F Virili, C Ghiringhelli PROSPETTIVE IN ORGANIZZAZIONE, 1-10, 2021 | | 2021 |
A new model for the population density over time: how spatial correlation matters C Ghiringhelli Politecnico di Milano, 2015 | | 2015 |