Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Marius Ötting"'
Autor:
Marius Ötting, Christian Deutscher, Sandra Schneemann, Roland Langrock, Sebastian Gehrmann, Hendrik Scholten
Publikováno v:
PLoS ONE, Vol 15, Iss 2, p e0228870 (2020)
Understanding and predicting how individuals perform in high-pressure situations is of importance in designing and managing workplaces. We investigate performance under pressure in professional darts as a near-ideal setting with no direct interaction
Externí odkaz:
https://doaj.org/article/e3ad7c12682e4901a69e1d57c3210b96
Football tracking data: a copula-based hidden Markov model for classification of tactics in football
Autor:
Marius Ötting, Dimitris Karlis
Publikováno v:
Annals of Operations Research.
Driven by recent advances in technology, tracking devices allow to collect high-frequency data on the position of players in (association) football matches and in many other sports. Although such data sets are available to every professional team, mo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::145b74b6bba1976ccc10c124011691d2
https://doi.org/10.1007/s10479-022-04660-0
https://doi.org/10.1007/s10479-022-04660-0
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 of interest not only from the psychological perspective, but also as t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::efeeadb0f1247b1831de5e68d3cb17d2
Autor:
Marius Ötting, Groll Andreas
Although academic research on the 'hot hand' effect (in particular, in sports, especially in basketball) has been going on for more than 30 years, it still remains a central question in different areas of research whether such an effect exists. In th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f48564674e94fc87347a6967785ba71e
https://doi.org/10.1177/1471082x211008014
https://doi.org/10.1177/1471082x211008014
Publikováno v:
AStA Advances in Statistical Analysis
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-minute in-game statistics of Bundesliga matches using hidden Markov m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::295653e6db54f44ca178e6e9fa1814ad
https://doi.org/10.1007/s10182-021-00395-8
https://doi.org/10.1007/s10182-021-00395-8
Autor:
Marius Ötting
In recent years, data-driven approaches have become a popular tool in a variety of sports to gain an advantage by, for example, analysing potential strategies of opponents. Whereas the availability of play-by-play or player tracking data in sports su
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::79a0226ec8623b4f99317a5026485b9c
http://arxiv.org/abs/2003.10791
http://arxiv.org/abs/2003.10791
Autor:
Sina Mews, Marius Ötting
We investigate the hot hand phenomenon using data on 110,513 free throws taken in the National Basketball Association. As free throws occur at unevenly spaced time points within a game, we consider a state-space model formulated in continuous time to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::68452d01a8cdb37860a7fbe802386a44
Publikováno v:
SSRN Electronic Journal.
Research on sports betting often identifies biased evaluation by bookmakers and corresponding opportunities for profitable strategies to bettors. Such studies repeatedly provide evidence for the existence of biased betting odds for different periods
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d46826466649c24980ac90e06aeb0895
https://doi.org/10.2139/ssrn.3672233
https://doi.org/10.2139/ssrn.3672233
Summary We investigate the hot hand hypothesis in professional darts in a nearly ideal setting with minimal to no interaction between players. Considering almost 1 year of tournament data, corresponding to 167492 dart throws in total, we use state sp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9dfb5769a8a1a6b48fb69a4e8368006d
https://pub.uni-bielefeld.de/record/2939171
https://pub.uni-bielefeld.de/record/2939171
Continuous-time state-space models (SSMs) are flexible tools for analysing irregularly sampled sequential observations that are driven by an underlying state process. Corresponding applications typically involve restrictive assumptions concerning lin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::37a8843757b9ed173beef7b4ef4954f8
https://pub.uni-bielefeld.de/record/2955083
https://pub.uni-bielefeld.de/record/2955083