Pseudolikelihood decimation algorithm improving the inference of the interaction network in a general class of Ising models.

@article{Decelle2014PseudolikelihoodDA,
  title={Pseudolikelihood decimation algorithm improving the inference of the interaction network in a general class of Ising models.},
  author={Aurelien Decelle and Federico Ricci-Tersenghi},
  journal={Physical review letters},
  year={2014},
  volume={112 7},
  pages={070603}
}
In this Letter we propose a new method to infer the topology of the interaction network in pairwise models with Ising variables. By using the pseudolikelihood method (PLM) at high temperature, it is generally possible to distinguish between zero and nonzero couplings because a clear gap separate the two groups. However at lower temperatures the PLM is much less effective and the result depends on subjective choices, such as the value of the ℓ1 regularizer and that of the threshold to separate… CONTINUE READING
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