PT EN

Nonparametric Statistical Inference

Program

The course intends to explore some topics of nonparametric inference, with a focus on rank-based and curve smoothing inference. Specific subjects to be studied may include order statistics, empirical functions and goodness-of-fit tests, inference in extreme value models, kernel density and regression function estimation, smoothing parameter selection and estimation of other functions depending on the density.

Research and Events

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Defended Theses

  • Topic Summation and Transformation formulas related with Spectral Functions
      Pedro Manuel Macedo Ribeiro (January 2025)
      Semyon Yakubovich
  • Numerical methods for the robust reconstruction of elasticity
      Rafael Oliveira Henriques (January 2025)
      Sílvia Barbeiro
  •   Vincenzo Bianca (July 2024)
      José Miguel Urbano
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