Probabilistic Frames: An Overview

Probabilistic Frames: An Overview
复制标题

概率框架:概述

DOI:
10.1007/978-0-8176-8373-3_12
复制
发表时间:
2011
期刊:
arXiv: Probability
影响因子:
--
通讯作者:
K. Okoudjou
K. Okoudjou
中科院分区:
--
文献类型:
--
作者:
M. Ehler;K. Okoudjou

文献摘要

被引文献

相似文献

有限标架可以看作是分布在N维欧氏空间中的质点。因此,它们形成了我们称为概率框架的更大和更丰富的一类概率测度的子类。我们推导出概率框架的基本性质,并描述了它们的一个子类中的一些适当的潜在功能的极小。此外,我们调查了一系列领域的概率框架,虽然在不同的名称,出现。这些领域包括方向统计、凸体几何和t-设计理论。
Finite frames can be viewed as mass points distributed in N-dimensional Euclidean space. As such they form a subclass of a larger and rich class of probability measures that we call probabilistic frames. We derive the basic properties of probabilistic frames, and we characterize one of their subclasses in terms of minimizers of some appropriate potential function. In addition, we survey a range of areas where probabilistic frames, albeit under different names, appear. These areas include directional statistics, the geometry of convex bodies, and the theory of t-designs.