Nonparametric Statistical Inference


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.

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Defended Theses

  • Structure, algorithmics and dynamics of endomorphisms for certain classes of groups
      André da Cruz Carvalho (April 2023)
      Pedro V. Silva
  • A point-free study of z-embeddings, more general classes of localic maps, and uniform continuity
      Ana Belén Avilez García (April 2023)
      Jorge Picado
  • Analysis of equations of motion of inextensible strings and networks
      Ayk Telciyan (April 2023)
      Dmitry Vorotnikov
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