Improved pseudolikelihood regularization and decimation methods on non-linearly interacting systems with continuous variables

We propose and test improvements to state-of-the-art techniques of Bayeasian statistical inference based on pseudolikelihood maximization with $\ell_1$ regularization and with decimation. In particular, we present a method to determine the best value of the regularizer parameter starting from a...

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Bibliographic Details
Main Author: Alessia Marruzzo, Payal Tyagi, Fabrizio Antenucci, Andrea Pagnani, Luca Leuzzi
Format: Article
Language:English
Published: SciPost 2018-07-01
Series:SciPost Physics
Online Access:https://scipost.org/SciPostPhys.5.1.002