Criticality of mostly informative samples: a Bayesian model selection approach

DOI10.1088/1742-5468/2015/10/P10013zbMath1456.62043arXiv1502.00356MaRDI QIDQ3302121

Ariel Haimovici, Matteo Marsili

Publication date: 11 August 2020

Published in: Journal of Statistical Mechanics: Theory and Experiment (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1502.00356

Mathematics Subject Classification ID

Bayesian inference (62F15)

Related Items (5)

A new spin on color quantization ⋮ Resolution and relevance trade-offs in deep learning ⋮ Statistical criticality arises in most informative representations ⋮ Multiscale relevance and informative encoding in neuronal spike trains ⋮ Maximal relevance and optimal learning machines

Uses Software

• plfit

Cites Work

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• Dissecting financial markets: sectors and states
• THE POPULATION FREQUENCIES OF SPECIES AND THE ESTIMATION OF POPULATION PARAMETERS

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