| Parsimonious periodic autoregressive models for time series with evolving trend and seasonality F Battaglia, D Cucina, M Rizzo Statistics and Computing 30 (1), 77-91, 2020 | 12 | 2020 |
| Multiple changepoint detection for periodic autoregressive models with an application to river flow analysis D Cucina, M Rizzo, E Ursu Stochastic Environmental Research & Risk Assessment 33 (4), 1137-1157, 2019 | 10 | 2019 |
| Detection and estimation of additive outliers in seasonal time series F Battaglia, D Cucina, M Rizzo Computational Statistics 35 (3), 1393-1409, 2020 | 6 | 2020 |
| A generalization of periodic autoregressive models for seasonal time series F Battaglia, D Cucina, M Rizzo Department of Statistical Sciences, Sapienza University of Rome, 2018 | 5 | 2018 |
| On the Choice of a Genetic Algorithm for Estimating GARCH Models M Rizzo, F Battaglia Computational Economics 48 (3), 473-485, 2016 | 4 | 2016 |
| Statistical and Computational Tradeoff in Genetic Algorithm-Based Estimation M Rizzo, F Battaglia Journal of Statistical Computation and Simulation 88 (16), 3081-3097, 2018 | 3 | 2018 |
| Effects of regorafenib on the mononuclear/phagocyte system and how these contribute to the inhibition of colorectal tumors in mice S Grünewald, M Stecklum, M Rizzo, J Rathjens, L Fiebig, D Zopf European Journal of Medical Research 28 (147), 2023 | 1 | 2023 |
| Memetic Genetic Algorithms for Time Series Compression by Piecewise Linear Approximation T Friedrich, MS Krejca, JAG Lagodzinski, M Rizzo, A Zahn Neural Information Processing. ICONIP 2020. Lecture Notes in Computer …, 2020 | 1 | 2020 |
| Identification of multiregime periodic autoregressive models by genetic algorithms D Cucina, M Rizzo, E Ursu ITISE 2018 International Conference on Time Series and Forecasting 1, 396, 2018 | 1 | 2018 |
| Periodic Autoregressive Models with Multiple Structural Changes by Genetic Algorithms F Battaglia, D Cucina, M Rizzo Mathematical and Statistical Methods for Actuarial Sciences and Finance, 107-110, 2018 | 1 | 2018 |
| Generalized periodic autoregressive models for trend and seasonality varying time series F Battaglia, D Cucina, M Rizzo Book of Short Papers SIS 2018, 2018 | | 2018 |
| Contributions on Evolutionary Computation for Statistical Inference M Rizzo Sapienza University of Rome, 2018 | | 2018 |
| Evolutionary computation and multiple chains MCMC sampling: An overview M Rizzo Book of Abstracts: CFE-CMStatistics 2017, 219-219, 2017 | | 2017 |
| On Variability Analysis of Evolutionary Algorithm-Based Estimation M Rizzo 11th Meeting of the Classification and Data Analysis Group, CLADAG 2017, 2017 | | 2017 |
| Statistical and computational tradeoff in econometric models building by genetic algorithms M Rizzo, F Battaglia Book of Abstracts: CFE-CMStatistics 2016, 89-89, 2016 | | 2016 |
Francesco BattagliaProfessore di Statistica, Universita di Roma La SapienzaVerified email at uniroma1.it
