Members > PhD Members

Manuel Scotto

Institutional Address

Instituto Superior Técnico (IST)
Av. Rovisco Pais 1
1049-001 LISBOA


Phone: | Email: manuel.scotto@tecnico.ulisboa.pt | Web: manuelscotto.weebly.com/

Position

Associate Professor with Habilitation, Instituto Superior Técnico, Universidade de Lisboa

Area

Statistics and Stochastic Processes

Principal Area

Time series analysis

Other Area

Extreme value theory

Qualifications

  • 2012 Habilitation in Mathematics, University of Aveiro
  • 2001 PhD in Probability and Statistics, University of Lisbon
  • 1997 MSc in Probability and Statistics, University of Lisbon
  • 1995 Degree in Probability and Statistics, University of Lisbon
  • 1994 BSc in Statistics, Polytechnic University of Catalonia, Spain 

Papers in International Journals

Books

Papers or Chapters in Edited Books

  • Costa, Conceição; Pereira, Isabel; Scotto, Manuel (2018)  Surveillance in Discrete Time Series . Recent Studies on Risk Analysis and Statistical Modeling (T.A. Oliveira, C.P. Kitsos, A. Oliveira, L. Grilo, eds.) Springer International Publishing, ISBN: 978-3-319-76604-1, 197-212.
  • Costa, Conceição; Scotto, Manuel; Pereira, Isabel (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, 189-202.
  • Costa, Conceição; Scotto, Manuel; Pereira, Isabel (2009)  Sistemas de alarme óptimos para processos FIAPARCH . Estatística: a Arte de Explicar o Acaso - Actas do XVI Congresso da Sociedade Portuguesa de Estatística, I. Oliveira, E. Correia, F. Ferreira, S. Dias and C.A. Braumann, eds., Sociedade Portuguesa de Estatística, 205-216.

Edition of Books

  • Pereira, Isabel; Freitas, Adelaide; Scotto, Manuel; Silva, Maria Eduarda; Paulino, Carlos Daniel (Eds) (2015)  Estatística: a Ciência da Incerteza . Atas do XXI Congresso da Sociedade Portuguesa de Estatística. Sociedade Portuguesa de Estatística, 2014, ISBN 978-972-8890-35-3.

Papers in National Scientific Journals