7 papers
Model quality in football: Quantifying the quality of an Expected Threat model
Koen van Arem, Jakob Söhl, Mirjam Bruinsma +1
The recent growth in data availability in football has increased the risk of incorrect use of data-driven models, making guidelines on their validation and application necessary. T…
Semiparametric Uncertainty Quantification via Isotonized Posterior for Deconvolutions
Francesco Gili, Geurt Jongbloed
We address the problem of uncertainty quantification for the deconvolution model \(Z = X + Y\), where \(X\) and \(Y\) are nonnegative random variables and the goal is to estimate t…
The trade-off between model flexibility and accuracy of the Expected Threat model in football
Koen W. van Arem, Jakob Söhl, Mirjam Bruinsma +1
With an average football (soccer) match recording over 3,000 on-ball events, effective use of this event data is essential for practitioners at football clubs to obtain meaningful…
Semiparametric Bernstein-von Mises Phenomenon via Isotonized Posterior in Wicksell's problem
Francesco Gili, Geurt Jongbloed, Aad van der Vaart
In this paper, we propose a novel Bayesian approach for nonparametric estimation in Wicksell's problem. This has important applications in astronomy for estimating the distribution…
Nonparametric Estimation in Uniform Deconvolution and Interval Censoring
Piet Groeneboom, Geurt Jongbloed
In the uniform deconvolution problem one is interested in estimating the distribution function of a nonnegative random variable, based on a sample with additive uniform noise…
Nonparametric inference for Poisson-Laguerre tessellations
Thomas van der Jagt, Geurt Jongbloed, Martina Vittorietti
In this paper, we consider statistical inference for Poisson-Laguerre tessellations in . The object of interest is a distribution function which uniquely determin…