Journal articles
Fenga L, Galli M (In Press). Impact estimation on COVID-19 infections following school reopening in September 2020 in Italy. Journal of Statistics and Computer Science
Fenga L (In Press). Loss of Fitting and Distance Prediction in Fixed vs Updated ARIMA Models.
Global Journal of Science Frontier Research Volume XVII Issue. Year 2017 Abstract.
Fenga L, Son-Turan S (2022). Forecasting youth unemployment in the aftermath of the COVID-19 pandemic: the Italian case. International Journal of Scientific and Management Research, 05(01), 75-91.
Fenga L, Del Castello C (2021). COVID-19: Metaheuristic Optimization-Based Forecast Method on Time-Dependent Bootstrapped Data.
Journal of Probability and Statistics,
2021, 1-7.
Abstract.
Fenga L (2021). CoViD-19: an automatic, semiparametric estimation method for the population infected in Italy.
PeerJ,
9, e10819-e10819.
Abstract.
Fenga L (2021). Forecasting the COVID-19 Diffusion in Italy and the Related Occupancy of Intensive Care Units. Journal of Probability and Statistics, 2021, 1-9.
Fenga L, Gaspari M (2021). Predictive Capacity of COVID-19 Test Positivity Rate.
Sensors,
21(7), 2435-2435.
Abstract.
Quattrociocchi L, Tibaldi M, Marsili M, Fenga L, Caputi M (2020). Active Ageing and Living Condition of Older Persons Across Italian Regions. Journal of Population Ageing, 14(1), 91-136.
Fenga L (2019). Filtering and prediction of noisy and unstable signals: the case of Google Trends data.
Journal of Forecasting,
39(2), 281-295.
Abstract.
Cerqueti R, Fenga L, Ventura M (2018). Does the U.S. exercise contagion on Italy? a theoretical model and empirical evidence. Physica A: Statistical Mechanics and its Applications, 499, 436-442.
Fenga L (2018). Smoothing parameter estimation for first order discrete time infinite impulse response filters. Biometrics & Biostatistics International Journal, 7(5).
Fenga L (2017). A wavelet threshold denoising procedure for multimodel predictions: an application to economic time series.
Statistical Analysis and Data Mining: the ASA Data Science Journal,
10(6), 410-421.
Abstract.
Fenga L (2017). Bootstrap Order Determination for ARMA Models: a Comparison between Different Model Selection Criteria.
Journal of Probability and Statistics,
2017, 1-12.
Abstract.
Fenga L, Politis DN (2017). LASSO order selection for sparse autoregression: a bootstrap approach. Journal of Statistical Computation and Simulation, 87(14), 2668-2688.
Fenga L (2016). Time Series Chaos Detection and Assessment via Scale Dependent Lyapunov Exponent.
International Journal of Statistics and Probability,
5(6), 1-1.
Abstract.
Fenga L, Politis DN (2013). Bootstrap order selection for SETAR models. Journal of Statistical Computation and Simulation, 85(2), 235-250.
Fenga L, Politis DN (2011). Bootstrap-based ARMA order selection. Journal of Statistical Computation and Simulation, 81(7), 799-814.
Battaglia F, Fenga L (2003). Forecasting Composite Indicators with Anticipated Information: an Application to the Industrial Production Index.
Journal of the Royal Statistical Society Series C: Applied Statistics,
52(3), 279-290.
Abstract.
Missori P, Fenga L, Maraglino C, Rocchi G, Nardacci B, Calderaro G, Salvati M, Delfini R (2000). Spontaneous Acute Subdural Hematomas. A Clinical Comparison with Traumatic Acute Subdural Hematomas. Acta Neurochirurgica, 142(6), 697-701.
Chapters
Fenga L (2023). Publisher Correction to: Forecasting Combination of Hierarchical Time Series: a Novel Method with an Application to CoVid-19. In (Ed) Studies in Theoretical and Applied Statistics, Springer Nature, c1-c1.
Fenga L (2022). Forecasting combination of hierarchical time series: a novel method with an application to CoVid-19. In (Ed)
Studies in Theoretical and Applied Statistics,, Springer.
Abstract.
Quattrociocchi L, Tibaldi M, Caputi M (2020). Invecchiamento attivo e condizioni di vita degli anziani in Italia. In (Ed) .
Fenga L (2020). Multiscale Decomposition of Big Data Time Series for
Analysis and Prediction of Macroeconomic Data: a Recent Approach. In (Ed)
Theory and Applications of Mathematical Science Vol. 3, BP International.
Abstract.
Fenga L (2017). Prediction of Noisy ARIMA Time Series via Butterworth Digital Filter. In (Ed)
Advances in Time Series Analysis and Forecasting Selected Contributions from ITISE 2016, Springer.
Abstract.
Fenga L (2016). A Compounded Multiresolution Artificial Neural Network Method for the Prediction of Time
Series with Complex Dynamics. In (Ed)
Time Series Analysis and Forecasting Selected Contributions from the ITISE Conference, Springer, 367-384.
Abstract.