Fisher Information Metric
Lambert M. Surhone, Mariam T. Tennoe, Susan F. Henssonow
High Quality Content by WIKIPEDIA articles! 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...
ISBN: 978-6-1312-3904-5
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Книга по требованию
Дата выхода: июль 2011