统计镜大厅

Pub Date : 2021-09-28 DOI:10.4310/ajm.2022.v26.n6.a3
Gabriel J. H. Khan, Jun Zhang
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引用次数: 3

摘要

信息几何的主要研究对象是统计流形,它是概率测度的参数化族,由Fisher-Rao度量和一对无扭共轭连接诱导。在最近的工作中,作者将参数化概率分布视为允许扭转的部分平坦统计流形,并基于底层流形的二元几何,证明了在这些流形的切丛上存在复到辛对偶。在本文中,我们在Hessian流形的背景下进一步探讨了这种对应关系,在这种情况下,共轭连接都是无曲率和无扭转的,并且相关的对偶空间对是K\“ahler流形。我们重点讨论了几个关键例子及其几何特征。特别地,我们证明了单变量正态分布的模空间产生了Siegel半空间和Siegel-Jacobi空间之间的对应关系,这两个空间是在自同构形式的上下文中出现的空间。
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A hall of statistical mirrors
The primary objects of study in information geometry are statistical manifolds, which are parametrized families of probability measures, induced with the Fisher-Rao metric and a pair of torsion-free conjugate connections. In recent work, the authors considered parametrized probability distributions as partially-flat statistical manifolds admitting torsion and showed that there is a complex to symplectic duality on the tangent bundles of such manifolds, based on the dualistic geometry of the underlying manifold. In this paper, we explore this correspondence further in the context of Hessian manifolds, in which case the conjugate connections are both curvature- and torsion-free, and the associated dual pair of spaces are K\"ahler manifolds. We focus on several key examples and their geometric features. In particular, we show that the moduli space of univariate normal distributions gives rise to a correspondence between the Siegel half-space and the Siegel-Jacobi space, which are spaces that appear in the context of automorphic forms.
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