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Inference in kinetic Ising models: mean-field and Bayes estimators
Published on Mar 07, 20161947 Views
We consider the problem of statistical inference in a non-equilibrium Ising model with parallel updates, paradigmatic for the study of network reconstruction from dynamical data and reverse engineer
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Chapter list
Inference in kinetic Ising models: mean field and Bayes estimators00:00
The kinetic ising model00:23
Mean field approach exact02:25
Asymmetric networks: inferring the couplings03:11
Prediction error03:40
Graph04:14