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Time Series Analysis

Program

Time series. ARMA modeling with conditional heteroskedastic errors: power GARCH and GTARCH processes (general settings, stationarity, ergodicity, moments). Bilinear processes (brief reference).
Integer-valued time series. Thinning operator, INARMA and INGARCH stochastic processes (general settings, stationarity, ergodicity, moments).
Statistical analysis of time series. Estimation, forecasting and testing in some of the models studied.

Research and Events

Events

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Defended Theses

  • Deformation theory of Lie algebroids, their morphisms and applications
      Sebastián Camilo Daza Alfonso (July 2026)
      João Nuno Mestre
  • Measure and randomness in locales
      Raquel Viegas Bernardes (January 2026)
      Jorge Picado
  • Graphs associated to reduced words in classical Weyl groups
      Diogo André Cardoso Conde Soares (January 2026)
      Ricardo Mamede
      José Luís Santos
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