Theory of Statistical Estimation

By R. Fisher. 1925

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Citations in the corpus

Recasting Gradient-Based Meta-Learning as Hierarchical Bayes (2018, methodology): “The Fisher information matrix (Fisher, 1925) has been extensively used as an approximation of curvature, giving rise to a method known as natural gradient descent (Amari, 1998).”
Critical Learning Periods in Deep Neural Networks (2017, background): “Two phases of learning: As its name suggests, the FIM can be thought as a measure of the quantity of information about the training data that is contained in the model (Fisher, 1925).”
Where is the Information in a Deep Neural Network? (2019, methodology): “In this section, we relate different choices of pre- and post-distributions to well-known definitions, in particular (Shannon, 1948) and (Fisher, 1925).”
Eigen-Distortions of Hierarchical Representations (2017, background): “where β is a scale factor that depends on the noise amplitude of the internal representation (as well as experimental conditions, when measuring discrimination thresholds of human observers), and J [~x] is the Fisher information matrix (FIM; Fisher [1925]), a second-order expansion of the log likeli”
Milestones in the history of thematic cartography, statistica l graphics, and data visualization (2008, unknown): “)— Ronald Aylmer Fisher (1890–1962), UK [72, 73].”
R.A. Fisher and the making of maximum likelihood 1912-1922 (1997, background): “He Ž .wrote Fisher 1925b, pp. 10]11 of likelihood as ‘‘the mathematical quantity which appears to be appropriate for measuring our order of preference among different possible populations.’’”
Multiple Imputation After 18+ Years (1996, background): “(1.3) 2) is not, then U1 is only an "approximate weight for the value of the estimate" (Fisher 1925, p. 724).”
Generalized Fiducial Inference: A Review and New Results (2016, background): “The origin of fiducial inference can be traced back to R. A. Fisher (1922, 1925, 1930, 1933, 1935) who introduced the concept of a fiducial distribution for a parameter, and proposed the use of this fiducial distribution, in place of the Bayesian posterior distribution, for interval estimation of…”
ANCILLARY STATISTICS: A REVIEW (2010, methodology): “The concept of ancillary statistics is one of R. A. Fisher’s fundamental contributions to statistical inference.”