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

Events

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Defended Theses

  • Some aspects of descent theory and applications
      Rui Rodrigues de Abreu Fernandes Prezado (January 2024)
      Maria Manuel Clementino
      Fernando Lucatelli Nunes
  • Comparability between different systems: star-shaped and convex transform orders
      Beatriz Ferreira Santos (December 2023)
      Paulo Eduardo Oliveira
      Idir Arab
  • On Lax Idempotent Monads in Topology
      Carlos Miguel Alves Fitas (December 2023)
      Maria Manuel Clementino
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