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Fisher Information Metric
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Geliefert zwischen Fr., 16.01.2026 und Mo., 19.01.2026
Details
Please note that the content of this book primarily consists of articles available from Wikipedia or other free sources online. In information geometry, the Fisher information metric is a particular Riemannian metric which can be defined on a smooth statistical manifold, i.e., a smooth manifold whose points are probability measures defined on a common probability space. In mathematics, more specifically in measure theory, a measure on a set is a systematic way to assign to each suitable subset a number, intuitively interpreted as the size of the subset. In this sense, a measure is a generalization of the concepts of length, area, volume, et cetera. A particularly important example is the Lebesgue measure on a Euclidean space, which assigns the conventional length, area and volume of Euclidean geometry to suitable subsets of Rn, n=1,2,3,.... For instance, the Lebesgue measure of [0,1] in the real numbers is its length in the everyday sense of the word, specifically 1.
Weitere Informationen
- Allgemeine Informationen
- GTIN 09786131239045
- Editor Lambert M. Surhone, Mariam T. Tennoe, Susan F. Henssonow
- Größe H220mm x B220mm
- EAN 9786131239045
- Format Fachbuch
- Titel Fisher Information Metric
- Herausgeber Betascript Publishing
- Anzahl Seiten 112
- Genre Mathematik
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