25 citations · 55 across the 5 of their papers we have counts for
5 papers
Entropy estimation for partially accessible Markov networks based on imperfect observations: Role of finite resolution and finite statistics
Jonas H. Fritz, Benjamin Ertel, Udo Seifert
Estimating entropy production from real observation data can be difficult due to finite resolution in both space and time and finite measurement statistics. We characterize the sta…
An estimator of entropy production for partially accessible Markov networks based on the observation of blurred transitions
Benjamin Ertel, Udo Seifert
A central task in stochastic thermodynamics is the estimation of entropy production for partially accessible Markov networks. We establish an effective transition-based description…
Waiting time distributions in hybrid models of motor-bead assays: A concept and tool for inference
Benjamin Ertel, Jann van der Meer, Udo Seifert
In single-molecule experiments, the dynamics of molecular motors are often observed indirectly by measuring the trajectory of an attached bead in a motor-bead assay. In this work,…
Thermodynamic inference in partially accessible Markov networks: A unifying perspective from transition-based waiting time distributions
Jann van der Meer, Benjamin Ertel, Udo Seifert
The inference of thermodynamic quantities from the description of an only partially accessible physical system is a central challenge in stochastic thermodynamics. A common approac…
Operationally Accessible Uncertainty Relations for Thermodynamically Consistent Semi-Markov Processes
Benjamin Ertel, Jann van der Meer, Udo Seifert
Semi-Markov processes generalize Markov processes by adding temporal memory effects as expressed by a semi-Markov kernel. We recall the path weight for a semi-Markov trajectory and…