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Research

 

Our research focuses on the development of statistical methods for solving real-world data problems. Sometimes these methods are applicable in a wide range of fields (e.g. when developing general classes of statistical models such as Markov-switching generalized additive models), whereas in other cases the method development is tailored to the particular data problem at hand (e.g. when developing statistical tools for estimating the abundance of marine mammals).

Our expertise centres around the following areas:

  • hidden Markov models
  • nonparametric modelling
  • statistical ecology
  • economic applications 
  • medical statistics and statistical methods in epidemiology

 


Aktuelles

New Paper

Paper accepted at the Journal of Sports Economics on the drivers of betting volumes in the English Premier League.

New member of the group

Sina Mews has joined the group as a PhD student.

New paper

Paper accepted at Movement Ecology on foraging strategies of reef sharks.

New member of the group

Vianey Leos Barajas has joined our group.

New paper

Paper accepted at Statistica Neerlandica on nonparametric inference in HMM-type models.

New paper

Paper accepted at Applied Economics on betting market inefficiencies in German football.

New paper

Paper accepted at Quantitative Finance that uses Markov-switching GAMs for forecasting operational losses in banking.

SFB

Roland is a PI within a new "Sonderforschungsbereich".

Karl Peter Grotemeyer Prize

Roland Langrock will be awarded the Karl Peter Grotemeyer Prize.