HOW DOES SAMPLING AFFECT THE RESULTS OF NEXT ACTIVITY PREDICTION IN PREDICTIVE PROCESS MONITORING? This repositry contains the implementation and data used for my master thesis. The goal was improve ...

HOW DOES SAMPLING AFFECT THE RESULTS OF NEXT ACTIVITY PREDICTION IN PREDICTIVE PROCESS MONITORING? This repositry contains the implementation and data used for my master thesis. The goal was improve ...

We introduce a general framework for the log-time sampling of continuous-time signals. We define the zeta transform based on the log-time sampling scheme, where the signal is sampled at time instants.

Abstract: Process mining combines data mining with process analysis, e.g. to discover process models from event logs. Practice shows that event logs grow very fast. Consequently, they quickly become ...

Abstract: It is a fundamental problem to understand the complexity of high-accuracy sampling from a strongly log-concave density $\pi$ on $\mathbb{R}^{d}$. Indeed, in practice, high-accuracy samplers ...

For the task of sampling from a density \(π∝exp(−V)\) on \(R^d\), where \(V\) is possibly non-convex but \(L\)-gradient Lipschitz, we prove that averaged Langevin Monte Carlo outputs a sample with \(ε ...

Sampling from a finite population on multiple occasions introduces dependencies between the successive samples when overlap is designed. Such sampling designs lead to efficient statistical estimates, ...