272 citations · 603 across the 17 of their papers we have counts for
17 papers
Inferring the parameters of a Markov process from snapshots of the steady state
Simon Lee Dettmer, Johannes Berg
We seek to infer the parameters of an ergodic Markov process from samples taken independently from the steady state. Our focus is on non-equilibrium processes, where the steady sta…
Inverse statistical problems: from the inverse Ising problem to data science
H. Chau Nguyen, Riccardo Zecchina, Johannes Berg
Inverse problems in statistical physics are motivated by the challenges of `big data' in different fields, in particular high-throughput experiments in biology. In inverse problems…
Statistical mechanics of the inverse Ising problem and the optimal objective function
Johannes Berg
The inverse Ising problem seeks to reconstruct the parameters of an Ising Hamiltonian on the basis of spin configurations sampled from the Boltzmann measure. Over the last decade,…
Network inference in the non-equilibrium steady state
Simon L. Dettmer, H. Chau Nguyen, Johannes Berg
Non-equilibrium systems lack an explicit characterisation of their steady state like the Boltzmann distribution for equilibrium systems. This has drastic consequences for the infer…
Mean-field theory for the inverse Ising problem at low temperatures
H. Chau Nguyen, Johannes Berg
The large amounts of data from molecular biology and neuroscience have lead to a renewed interest in the inverse Ising problem: how to reconstruct parameters of the Ising model (co…
Bethe-Peierls approximation and the inverse Ising model
H. Chau Nguyen, Johannes Berg
We apply the Bethe-Peierls approximation to the problem of the inverse Ising model and show how the linear response relation leads to a simple method to reconstruct couplings and f…