TESI ALIAJ

Dottoranda

ciclo: XXXV
email: tesi.aliaj@uniroma1.it




supervisore: Prof. Massimiliano Tancioni


Produzione scientifica

11573/1669094 - 2023 - Nowcasting inflation with Lasso-regularized vector autoregressions and mixed frequency data
Aliaj, T.; Ciganovic, M.; Tancioni, M. - 01a Articolo in rivista
rivista: JOURNAL OF FORECASTING ([Chichester]; [New York N.Y.]: John Wiley & Sons) pp. 1-17 - issn: 1099-131X - wos: WOS:000928963100001 (0) - scopus: 2-s2.0-85147523289 (2)

11573/1669092 - 2022 - Nowcasting. Developing the sources and methods to improve high-frequency labour market forecasting
Aliaj, Tesi; Ciganovic, Milos; Tancioni, Massimiliano - 03a Saggio, Trattato Scientifico

11573/1390513 - 2020 - Firms Default Prediction with Machine Learning
Aliaj, T.; Anagnostopoulos, A.; Piersanti, S. - 04b Atto di convegno in volume
congresso: 4th Workshop on Mining Data for Financial Applications, MIDAS 2019, held in conjunction with the 19th European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, ECML PKDD 2019 (Würzburg; Germany)
libro: Mining Data for Financial Applications - (978-3-030-37719-9; 978-3-030-37720-5)

11573/1351121 - 2020 - Machine learning for nowcasting. The ensemble methods applied to decision trees case
Aliaj, Tesi - 02a Capitolo o Articolo
libro: Advances in Economics: Research at the DED 2019 - ()

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