Inferring network structure using dynamical mean-field theory

Feb 24, 2011, 9:00 AM
45m
FB42 (AlbaNova Main Building)

FB42

AlbaNova Main Building

Speaker

Yasser Roudi (Norwegian University of Science and Technology)

Description

I will describe how interactions in a non-equilibrium Ising model can be inferred from observing state samples. We will start by a short review of how this could be done for equilibrium systems and then study how Dynamical Mean-Field (naive mean field and TAP) theory can be developed for a nonequilibrium Sherrington-Kirkpatrick model and exploited for inferring the network connectivity. We will also quantify the error in inferring the connectivity in the high temperature regime.

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