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Inference in kinetic Ising models: mean-field and Bayes estimators
Ludovica Bachschmid-Romano
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Oznake: computer science;machine learning;physics;statistical physics
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 engineering of complex biological systems, e.g., gene regulation or neural networks. Exact inference of the ...
Leto: 2015 Vir: videolectures.net
Št. zadetkov: 1
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