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A Tutorial on Fisher Information

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arxiv 1705.01064 v2 pith:SW233PHY submitted 2017-05-02 math.ST stat.TH

classification math.STstat.TH
keywords fisherinformationparadigmusedconceptstatisticaltutorialacross
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In many statistical applications that concern mathematical psychologists, the concept of Fisher information plays an important role. In this tutorial we clarify the concept of Fisher information as it manifests itself across three different statistical paradigms. First, in the frequentist paradigm, Fisher information is used to construct hypothesis tests and confidence intervals using maximum likelihood estimators; second, in the Bayesian paradigm, Fisher information is used to define a default prior; lastly, in the minimum description length paradigm, Fisher information is used to measure model complexity.

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Cited by 3 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Information-Theoretic Black Hole Entropy I: Beyond the Area Law

    hep-th 2026-08 conditional novelty 6.0 of 10

    Black hole entropy is proposed to equal the Kullback-Leibler divergence between a mass-biased N-bit ensemble and the uniform ensemble, with the area law as the leading 1/N term.

  2. Quantum Fisher information of the Klein--Gordon, $\phi^4$, and Dirac vacua

    hep-th 2026-07 conditional novelty 6.0 of 10

    Vacuum quantum Fisher information versus mass scales as m^{d-2} for free Klein–Gordon fields, diverges or shrinks under ϕ⁴ interactions, and is UV-divergent or zero for free Dirac fields depending on dimension.

  3. Quantum Estimation in QED Scattering

    quant-ph 2025-06 conditional novelty 6.0 of 10

    Spin and polarization states after electron-muon and Compton scattering encode information about the collision's momentum and angle, with quantum Fisher information providing the ultimate precision limits.

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