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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
  • sports analytics
  • medical statistics and statistical methods in epidemiology

 


Aktuelles

New paper (on the hot hand)

Paper accepted at JRSS-A on the hot hand in darts.

New paper (on HMMs)

Paper accepted at METRON on flexible estimation on HMMs for count data.

New paper (on (H)HMMs)

Paper accepted at Methods in Ecology and Evolution on hierarchical HMMs for multi-scale behavioural data.

New paper (on seals)

Paper accepted at Scientific Reports on interactions between grey seals and fishing vessels.

New paper (on match fixing)

Paper accepted at Statistical Modelling on match-fixing warning systems in football.

New paper (on sports betting)

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

New paper (on sharks)

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

New paper (on HMMs)

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

Karl Peter Grotemeyer Prize

Roland will be awarded the Karl Peter Grotemeyer Prize.