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Titlebook: Geometric Modeling in Probability and Statistics; Ovidiu Calin,Constantin Udri?te Textbook 2014 Springer International Publishing Switzerl

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樓主: 閃爍
11#
發(fā)表于 2025-3-23 12:07:41 | 只看該作者
Maximum Entropy Distributionsof mean, variance, or any . moments. The solution of these variational problems belongs to the exponential family. However, explicit solutions exist only in a few particular cases. A distinguished role is played by the study of the Maxwell–Boltzmann distribution.
12#
發(fā)表于 2025-3-23 16:31:40 | 只看該作者
13#
發(fā)表于 2025-3-23 19:05:37 | 只看該作者
14#
發(fā)表于 2025-3-24 01:29:55 | 只看該作者
15#
發(fā)表于 2025-3-24 02:30:50 | 只看該作者
Contrast Functions on Statistical Modelsative entropy, .-divergence, Hellinger distance, Chernoff information, Jefferey distance, Kagan divergence, and exponential contrast function. The relation with the skewness tensor and .-connection is made. The goal of this chapter is to produce hands-on examples for the theoretical concepts introduced in Chap. ..
16#
發(fā)表于 2025-3-24 08:46:32 | 只看該作者
Statistical Submanifolds the first and second fundamental forms, curvatures, mean curvatures, and the relations among them..This material adapts the well-known theory of submanifolds to the statistical manifolds framework and consists mainly in the contributions of the authors.
17#
發(fā)表于 2025-3-24 13:17:39 | 只看該作者
18#
發(fā)表于 2025-3-24 18:10:40 | 只看該作者
Dystopische Welten in der ,-TrilogieEntropy is a notion taken form Thermodynamics, where it describes the uncertainty in the movement of gas particles. In this chapter the entropy will be considered as a measure of uncertainty of a random variable.
19#
發(fā)表于 2025-3-24 21:02:16 | 只看該作者
https://doi.org/10.1007/978-3-322-88458-9The informational energy is a concept inspired from the kinetic energy expressionof Classical Mechanics. From the information theory point of view, the . is a measure of uncertainty or randomness of a probability system, and was introduced and studied for the first time by Onicescu [67, 68] in the mid-1960s.
20#
發(fā)表于 2025-3-25 00:44:43 | 只看該作者
Explicit ExamplesThis chapter presents a few examples of usual statistical models (normal, lognormal, beta, gamma, Bernoulli, and geometric) for which we provide the Fisher metricexplicitly and, if possible, the geodesicsand .-autoparallelcurves. Some Fisher metrics will involve the use of non-elementary functions, such as the digamma and trigamma functions.
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