Chapters of Books
- Santos, C., Pereira, I. and Scotto, M.G. (2019). Periodic INAR(1) models with Skellam-distributed innovations. (S. Misra, O. Gervasi, B. Murgante, E. Stankova, V. Korkhov, C. Torre, A.M.A.C. Rocha, D. Taniar, B.O. Apduhan, E. Tarantino, eds.) Computational Science and Its Applications - ICCSA 2019, Lecture Notes in Computer Science, vol 11621. Springer, Cham ISBN 978-3-030-24301-2, pp. 64-78.
- Rocha, D., Scotto, M.G., Pinto, C., Tavares, J.N. and Gouveia, S. (2019). Simulation study of HIV temporal patterns using Bayesian methodology. Bayesian Statistics and New Generations, Springer Proceedings in Mathematics & Statistics 296. Springer Nature Switzerland AG ISBN 978-3-030-30610-6, pp. 145-154.
- Costa, C., Pereira, I. and Scotto, M.G. (2018). Surveillance in discrete time series. Recent Studies on Risk Analysis and Statistical Modeling (T.A. Oliveira, C.P. Kitsos, A. Oliveira, and L. Grilo, eds.) Springer International Publishing ISBN 978-3-319-76604-1, pp. 197-212.
- Costa, C., Scotto, M.G. and Pereira, I. (2016). Integer-valued APARCH processes. Time Series Analysis and Forecasting. Selected Contributions from the ITISE Conference (I. Rojas and H. Pomares, eds.), Springer International Publishing, Switzerland ISBN 978-3-319-28723-2, pp. 189-202.
- Pereira, I., Scotto, M.G. and Nicolette, R. (2015). Integer-valued self-exciting periodic threshold autoregressive processes. Mathematical Texts. Contributions in Statistics and Inference. Celebrating Nazaré Mendes Lopes' Birthday (E. Gonçalves, P.E. Oliveira and C. Tenreiro, eds.), Vol. 47. Department of Mathematics, University of Coimbra, ISBN 978-972-8564-51-3, pp. 81-92.
- Monteiro, M., Scotto, M.G. and Pereira, I. (2015). A periodic bivariate integer-valued autoregressive model. Dynamics, Games and Science - International Conference. Advanced School Planet Earth DGS II (J.P. Bourguignon, R. Jelstch, A. Pinto, M. Viana, eds.), Springer, Switzerland. ISBN: 978-3-319-16117-4, pp. 455-477.
- Guedes Soares, C. and Scotto, M.G. (2012). Long term and extreme value models of wave data. CENTEC Anniversary Book (C. Guedes Soares, Y. Garbatov, N. Fonseca and A.P. Texeira, eds.), Vol. I, Taylor & Francis Group, London, ISBN 978-0-415-69808-5, pp. 97-108.
- Scotto, M.G., Barbosa, S.M. and Alonso, A.M. (2011). Model-based clustering of extreme sea level heights. Sea Level Rise, Coastal Engineering, Shorelines and Tides. (L.L. Wright, ed.), Chapter 15. Nova Science Publishers, New York. ISBN 978-1-1728-655-1, pp. 277-293.