Jakob Söhl
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View article: Forecasting the Future Development in Quality and Value of Professional Football Players
Forecasting the Future Development in Quality and Value of Professional Football Players Open
Transfers in professional football (soccer) are risky investments because of the large transfer fees and high risks involved. Although data-driven models can be used to improve transfer decisions, existing models focus on describing player…
View article: Forecasting the future development in quality and value of professional football players
Forecasting the future development in quality and value of professional football players Open
Transfers in professional football (soccer) are risky investments because of the large transfer fees and high risks involved. Although data-driven models can be used to improve transfer decisions, existing models focus on describing player…
View article: Testing for no effect in regression problems: A permutation approach
Testing for no effect in regression problems: A permutation approach Open
Often the question arises whether can be predicted based on using a certain model. Especially for highly flexible models such as neural networks one may ask whether a seemingly good prediction is actually better than fitting pure noise or …
View article: Testing for no effect in regression problems: a permutation approach
Testing for no effect in regression problems: a permutation approach Open
Often the question arises whether $Y$ can be predicted based on $X$ using a certain model. Especially for highly flexible models such as neural networks one may ask whether a seemingly good prediction is actually better than fitting pure n…
View article: Improving state estimation through projection post-processing for activity recognition with application to football
Improving state estimation through projection post-processing for activity recognition with application to football Open
The past decade has seen an increased interest in human activity recognition based on sensor data. Most often, the sensor data come unannotated, creating the need for fast labelling methods. For assessing the quality of the labelling, an a…
View article: Improving state estimation through projection post-processing for activity recognition in football.
Improving state estimation through projection post-processing for activity recognition in football. Open
The past decade has seen an increased interest in human activity recognition. Most commonly, the raw data coming from sensors attached to body parts are unannotated, which creates a need for fast labelling method. Part of the procedure is …
View article: Improving state estimation through projection post-processing for activity recognition with application to football
Improving state estimation through projection post-processing for activity recognition with application to football Open
The past decade has seen an increased interest in human activity recognition based on sensor data. Most often, the sensor data come unannotated, creating the need for fast labelling methods. For assessing the quality of the labelling, an a…
View article: Bernstein–von Mises theorems for statistical inverse problems II: compound Poisson processes
Bernstein–von Mises theorems for statistical inverse problems II: compound Poisson processes Open
We study nonparametric Bayesian statistical inference for the parameters governing a pure jump process of the form (Formula Presented) where N(t) is a standard Poisson process of intensity λ, and Z k are drawn i.i.d. from jump measure μ. A…
View article: Shear Viscosity Computed from the Finite-Size Effects of Self-Diffusivity in Equilibrium Molecular Dynamics
Shear Viscosity Computed from the Finite-Size Effects of Self-Diffusivity in Equilibrium Molecular Dynamics Open
A method is proposed for calculating the shear viscosity of a liquid from finite-size effects of self-diffusion coefficients in Molecular Dynamics simulations. This method uses the difference in the self-diffusivities, computed from at lea…
View article: AN ULTRASONIC SENSOR FOR HUMAN PRESENCE DETECTION TO ASSIST RESCUE WORK IN LARGE BUILDINGS
AN ULTRASONIC SENSOR FOR HUMAN PRESENCE DETECTION TO ASSIST RESCUE WORK IN LARGE BUILDINGS Open
When the fire brigade arrives at a burning building, it is of vital importance that people who are still inside can quickly be found. Smart buildings should be able to expose this location data to the fire brigade working in a smart city. …
View article: Nonparametric Bayesian posterior contraction rates for discretely observed scalar diffusions
Nonparametric Bayesian posterior contraction rates for discretely observed scalar diffusions Open
We consider nonparametric Bayesian inference in a reflected diffusion model $dX_{t}=b(X_{t})\\,dt+\\sigma(X_{t})\\,dW_{t}$, with discretely sampled observations $X_{0},X_{\\Delta},\\ldots,X_{n\\Delta}$. We analyse the nonlinear inverse pro…
View article: Adaptive confidence bands for Markov chains and diffusions: Estimating the invariant measure and the drift
Adaptive confidence bands for Markov chains and diffusions: Estimating the invariant measure and the drift Open
\n As a starting point we prove a functional central limit theorem for estimators of the\n invariant measure of a geometrically ergodic Harris-recurrent Markov chain in a\n multi-scale space. This allows to construct confidence bands for t…