Probability & Statistics Group Heidelberg-Mannheim

Heidelberg (April-Juli 2017)

Lecturer: Prof. Dr. Jan Johannes

Topics include

  • min-max optimality
  • data driven estimation
  • Gaussian inverse regression
  • deconvolution
  • functional linear regression
  • non-parametric instrumental regression

More information on the course website.

Lecturer: Prof. Dr. Jan Johannes, Prof. Dr. Enno Mammen, Christof Schötz

Topics include

  • probability theory in metric spaces
  • Fréchet mean and consequences
  • applications

More information on the course website.

Lecturer: Prof. Dr. Jan Johannes, Sandra Schluttenhofer

Topics include

  • Gaussian sequence model
  • optimality of tests
  • Bayesian hypothesis testing
  • ill-posed inverse problems

More information on the course website.

Mannheim (February-Mai 2017)

Lecturer: Prof. Dr. Leif Döring

Topics cover

  • Basics of stochastic processes
  • Stochastic integration
  • Stochastic differential equations
  • Markov process theory

More information on the course website.

Lecturer: Prof. Dr. Martin Schlather

Topics cover

    • linear models
    • neural networks

    More information on the course website.

    Lecturer: Prof. Dr. Leif Döring

    Topics cover

    • pseudo random numbers
    • generating of uniform random numbers
    • generation of special distributions

    More information on the course website.

    Lecturer: Prof. Dr. Leif Döring

    Topics cover

    • elementary probability
    • Markov chains
    • applications, such as Google's page rank

    More information on the course website.

    Lecturer: Prof. Dr. Martin Schlather

    Topics include

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    More information on the course website.

    Lecturer Prof. Dr. Jürgen Potthoff

    Topics include

    • measure theory
    • modes of convergence
    • weak convergence and applications

    Lecturer: Prof. Dr. Leif Döring

    Topics include

    • fundamentals on graphs
    • counting algorithms
    • applications to the FB graph