Simple method for inference in inverse Ising problem using full data

DOI10.1016/j.physa.2015.04.026zbMath1400.82044OpenAlexW2207836625MaRDI QIDQ1618624

Hirohito Kiwata

Publication date: 13 November 2018

Published in: Physica A (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.physa.2015.04.026

zbMATH Keywords

overdetermined systemfrequency distributioninverse Ising problempseudolikelihood maximization

Mathematics Subject Classification ID

Lattice systems (Ising, dimer, Potts, etc.) and systems on graphs arising in equilibrium statistical mechanics (82B20) Statistical aspects of information-theoretic topics (62B10)

Related Items (1)

Parameter inference in a probabilistic model from data: regulation of transition rate in the Monte Carlo method

Cites Work

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• High-dimensional Ising model selection using \(\ell _{1}\)-regularized logistic regression
• Approximate inference in Boltzmann machines
• Small-correlation expansions for the inverse Ising problem
• Information, Physics, and Computation
• Approximate Learning Algorithm in Boltzmann Machines

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