Statistical Manifolds Admitting Torsion and Partially Flat Spaces
Statistical Manifolds Admitting Torsion and Partially Flat Spaces
复制标题
承认扭转和部分平坦空间的统计流形
DOI:
10.1007/978-3-030-02520-5_3
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发表时间:
2019
期刊:
影响因子:
--
通讯作者:
Masayuki Henmi and Hiroshi Matsuzoe
中科院分区:
文献类型:
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作者:
Masayuki Henmi and Hiroshi Matsuzoe
It is well-known that a contrast function defined on a product manifoldinduces a Riemannian metric and a pair of dual torsion-free affine connections on the manifoldM. This geometrical structure is called a statistical manifold and plays a central role in information geometry. Recently, the notion of pre-contrast function has been introduced and shown to induce a similar differential geometrical structure onM, but one of the two dual affine connections is not necessarily torsion-free. This structure is called a statistical manifold admitting torsion. The notion of statistical manifolds admitting torsion has been originally introduced to study a geometrical structure which appears in a quantum statistical model. However, it has been shown that an estimating function which is used in “classical” statistics also induces a statistical manifold admitting torsion through its associated pre-contrast function. The aim of this paper is to summarize such previous results. In particular, we focus on a partially flat space, which is a statistical manifold admitting torsion where one of its dual connections is flat. In this space, it is possible to discuss some properties similar to those in a dually flat space, such as a canonical pre-contrast function and a generalized projection theorem.