106 citations · 361 across the 21 of their papers we have counts for
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physics.data-an2021★ 1 cited
Bayesian on-line anticipation of critical transitions
Martin Heßler, Oliver Kamps
The design of reliable indicators to anticipate critical transitions in complex systems is an im portant task in order to detect a coming sudden regime shift and to take action in…
physics.data-an2021
Efficient Bayesian estimation of the generalized Langevin equation from data
Clemens Willers, Oliver Kamps
Modeling non-Markovian time series is a recent topic of research in many fields such as climate modeling, biophysics, molecular dynamics, or finance. The generalized Langevin equat…
physics.data-an2021★ 11 cited
Non-parametric estimation of a Langevin model driven by correlated noise
Clemens Willers, Oliver Kamps
Langevin models are frequently used to model various stochastic processes in different fields of natural and social sciences. They are adapted to measured data by estimation techni…