244 citations · 517 across the 23 of their papers we have counts for
10 papers · 1 filter
Bettors' reaction to match dynamics -- Evidence from in-game betting
Rouven Michels, Marius Ötting, Roland Langrock
It is still largely unclear to what extent bettors update their prior assumptions about the strength and form of competing teams considering the dynamics during the match. This is…
Continuous-time multi-state capture-recapture models
Sina Mews, Roland Langrock, Ruth King +1
Multi-state capture-recapture data comprise individual-specific sighting histories together with information on individuals' states related, for example, to breeding status, infect…
A copula-based multivariate hidden Markov model for modelling momentum in football
Marius Ötting, Roland Langrock, Antonello Maruotti
We investigate the potential occurrence of change points - commonly referred to as "momentum shifts" - in the dynamics of football matches. For that purpose, we model minute-by-min…
Very Highly Skilled Individuals Do Not Choke Under Pressure: Evidence from Professional Darts
Christian Deutscher, Marius Ötting, Roland Langrock +3
Understanding and predicting how individuals perform in high-pressure situations is of importance in designing and managing workplaces, but also in other areas of society such as d…
The Hot Hand in Professional Darts
Marius Ötting, Roland Langrock, Christian Deutscher +1
We investigate the hot hand hypothesis in professional darts in a near-ideal setting with minimal to no interaction between players. Considering almost one year of tournament data,…
Statistical modelling of individual animal movement: an overview of key methods and a discussion of practical challenges
Toby A Patterson, Alison Parton, Roland Langrock +3
With the influx of complex and detailed tracking data gathered from electronic tracking devices, the analysis of animal movement data has recently emerged as a cottage industry amo…
A multivariate mixed hidden Markov model to analyze blue whale diving behaviour during controlled sound exposures
Stacy L DeRuiter, Roland Langrock, Tomas Skirbutas +4
Characterization of multivariate time series of behaviour data from animal-borne sensors is challenging. Biologists require methods to objectively quantify baseline behaviour, then…
Semi-Markov Arnason-Schwarz models
Ruth King, Roland Langrock
We consider multi-state capture-recapture-recovery data where observed individuals are recorded in a set of possible discrete states. Traditionally, the Arnason-Schwarz model has b…
Maximum penalized likelihood estimation in semiparametric capture-recapture models
Théo Michelot, Roland Langrock, Thomas Kneib +1
We discuss the semiparametric modeling of mark-recapture-recovery data where the temporal and/or individual variation of model parameters is explained via covariates. Typically, in…
Kernel-based semiparametric multinomial logit modelling of political party affiliation
Roland Langrock, Nils-Bastian Heidenreich, Stefan Sperlich
Conventional, parametric multinomial logit models are in general not sufficient for detecting the complex patterns voter profiles nowadays typically exhibit. In this manuscript, we…