7 citations · 12 across the 6 of their papers we have counts for
3 papers · 1 filter
Compensating random transition-detection blackouts in Markov networks
Alexander M. Maier, Benjamin Häsler, Udo Seifert
In Markov networks, measurement blackouts with unknown frequency compromise observations such that thermodynamic quantities can no longer be inferred reliably. In particular, the o…
A pedestrian's approach to large deviations in semi-Markov processes with an application to entropy production
Alexander M. Maier, Jonas H. Fritz, Udo Seifert
Semi-Markov processes play an important role in the effective description of partially accessible systems in stochastic thermodynamics. They occur, for instance, in coarse-graining…
From observed transitions to hidden paths in Markov networks
Alexander M. Maier, Udo Seifert, Jann van der Meer
The number of observable degrees of freedom is typically limited in experiments. Here, we consider discrete Markov networks in which an observer has access to a few visible transit…