• In mathematical statistics, the Fisher information is a way of measuring the amount of information that an observable random variable X carries about an...
    52 KB (7,376 words) - 23:04, 2 July 2025
  • In information geometry, the Fisher information metric is a particular Riemannian metric which can be defined on a smooth statistical manifold, i.e., a...
    27 KB (4,863 words) - 20:33, 5 July 2025
  • The quantum Fisher information is a central quantity in quantum metrology and is the quantum analogue of the classical Fisher information. It is one of...
    27 KB (4,474 words) - 04:13, 19 March 2025
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    reflecting greater uncertainty as success becomes rarer. Fisher information measures the amount of information that an observable random variable X {\displaystyle...
    35 KB (5,094 words) - 06:38, 7 July 2025
  • In information theory, the principle of minimum Fisher information (MFI) is a variational principle which, when applied with the proper constraints needed...
    11 KB (1,282 words) - 13:47, 18 August 2024
  • In statistics, the observed information, or observed Fisher information, is the negative of the second derivative (the Hessian matrix) of the "log-likelihood"...
    6 KB (842 words) - 14:40, 1 November 2023
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    {\displaystyle p=1} , where one outcome is certain. Fisher information measures the amount of information that an observable random variable X {\displaystyle...
    13 KB (2,196 words) - 21:53, 27 April 2025
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    quadratic terms. The word information, in the context of Fisher information, refers to information about the parameters. Information such as: estimation, sufficiency...
    245 KB (40,559 words) - 20:35, 30 June 2025
  • gives a metric tensor that equals the Fisher information metric; see § Fisher information metric. Fisher information metric on the certain probability distribution...
    77 KB (13,075 words) - 21:27, 5 July 2025
  • Thumbnail for Ronald Fisher
    Sir Ronald Aylmer Fisher FRS (17 February 1890 – 29 July 1962) was a British polymath who was active as a mathematician, statistician, biologist, geneticist...
    83 KB (8,894 words) - 16:34, 26 June 2025
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    of Information Review by Luciano Floridi for the Stanford Encyclopedia of Philosophy Principia Cybernetica entry on negentropy Fisher Information, a New...
    41 KB (4,788 words) - 16:03, 3 June 2025
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    distributions. Historically, information geometry can be traced back to the work of C. R. Rao, who was the first to treat the Fisher matrix as a Riemannian...
    10 KB (1,015 words) - 01:11, 20 June 2025
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    any unbiased estimator is at most the Fisher information; or (equivalently) the reciprocal of the Fisher information is a lower bound on its variance. An...
    27 KB (4,439 words) - 21:17, 19 June 2025
  • depends on the expected value of the Fisher information matrix, which is provided by a theorem proven by Fisher. Wilks continued to improve on the generality...
    68 KB (9,706 words) - 01:34, 1 July 2025
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    Q [ ϱ , B ] {\displaystyle F_{Q}[\varrho ,B]} denotes the quantum Fisher information and the density matrix is decomposed to pure states as ϱ = ∑ k p k...
    139 KB (19,249 words) - 09:50, 2 July 2025
  • function serves as a point estimate for the unknown parameter, while the Fisher information (often approximated by the likelihood's Hessian matrix at the maximum)...
    64 KB (8,546 words) - 13:13, 3 March 2025
  • Bures metric (category Quantum information science)
    operators defining quantum states. It is a quantum generalization of the Fisher information metric, and is identical to the Fubini–Study metric when restricted...
    15 KB (2,514 words) - 11:02, 6 June 2025
  • In statistical classification, the Fisher kernel, named after Ronald Fisher, is a function that measures the similarity of two objects on the basis of...
    8 KB (834 words) - 18:49, 24 June 2025
  • Thumbnail for Entropy (information theory)
    inequality Fisher information Graph entropy Hamming distance History of entropy History of information theory Information fluctuation complexity Information geometry...
    72 KB (10,220 words) - 10:44, 30 June 2025
  • function is proportional to the square root of the determinant of the Fisher information matrix: p ( θ ) ∝ | I ( θ ) | 1 / 2 . {\displaystyle p\left(\theta...
    17 KB (2,591 words) - 04:24, 1 July 2025
  • Thumbnail for Carrie Fisher
    Carrie Frances Fisher (October 21, 1956 – December 27, 2016) was an American actress and writer. She played Princess Leia in the original Star Wars films...
    129 KB (10,250 words) - 16:22, 10 July 2025
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    Roger (2010). "Efficient Monte Carlo computation of Fisher information matrix using prior information". Computational Statistics & Data Analysis. 54 (2):...
    92 KB (10,691 words) - 07:51, 10 July 2025
  • )={\frac {\partial \log L(\theta \mid x)}{\partial \theta }}.} The Fisher information is I ( θ ) = − E ⁡ [ ∂ 2 ∂ θ 2 log ⁡ f ( X ; θ ) | θ ] , {\displaystyle...
    11 KB (1,600 words) - 09:50, 2 July 2025
  • Estimation theory Fisher information Information algebra Information asymmetry Information field theory Information geometry Information theory and measure...
    69 KB (8,508 words) - 04:47, 12 July 2025
  • business, or government entity Fisher information, in statistics Help desk, an information service point Information wants to be free, an expression...
    3 KB (329 words) - 11:58, 24 October 2024
  • sufficient for θ {\displaystyle \theta } (since its Fisher information is 1, whereas the Fisher information of the complete statistic X ¯ {\displaystyle {\overline...
    10 KB (1,307 words) - 19:53, 19 June 2025
  • Statistical manifold (category Information theory)
    Statistical manifolds provide a setting for the field of information geometry. The Fisher information metric provides a metric on these manifolds. Following...
    4 KB (523 words) - 18:20, 29 November 2023
  • related to the quantum JS divergence; it is the quantum analog of the Fisher information metric. The centroid C* of a finite set of probability distributions...
    16 KB (2,308 words) - 22:01, 14 May 2025
  • }}/(2m{\sqrt {\rho }})} is proportional to the probability density's Fisher information about the observable x ^ {\displaystyle {\hat {x}}} I = ∫ ρ ⋅ ( ∇...
    54 KB (7,183 words) - 19:24, 25 May 2025
  • {\displaystyle t} is normal with a variance equal to the reciprocal of the Fisher information at the 'true' value of x {\displaystyle x} . The entropy of a normal...
    43 KB (6,753 words) - 20:06, 15 April 2025