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Entropy2016,18, 433
8.2.2. TheMorphismsofFB(Γ,Ξ)
Let [E,π,M,D]and [E∗,π∗,M∗,D∗]betwoobjectsofFB(Γ,Ξ).
LetΨ×ψbeamap
[E×M] (e,x)→ (Ψ(e),ψ(x))∈ [E∗×M∗].
Definition47. Apair (Ψ×ψ) is amorphismof thecategoryFB(Γ,Ξ) if the followingconditionsare satisfied
(m.1): π∗◦Ψ=ψ◦π,
(m.2): bothΨandψareΓ-equivariant isomorphism, that is to say
Ψ(γ ·e)=γ ·Ψ(e),
ψ(γ ·x)=γ ·ψ(x),
(m.3): ψ is anaffinemapof (M,D) in (M∗,D∗).
TheFigure3 represents theproperties (m.1)and(m.2). Wearegoing todefine thecategoryof
statisticalmodel for (Ξ,Ω). The framework is thecategoryFB(Γ,Ξ).
B1A1 C1
A B C
p1π p1
φu Φu∗
Φu γuu∗
γuu∗
φu∗
Figure3.Equivariance.
Atonesidewerecall that thegroupΓalsoacts inRm×Ξ.Atanotherside the localizationsare
madecoherent thanks toCechcocyclesγUU∗. Figure3 tells twoinformations. Firstly localizationsare
Γ-equivariant, secondly thanks toCechcocycles localizationsarecoherent.
8.3. TheCategoryGM(Ξ,Ω)
Wekeepthenotationusedin theprevioussubsections.Ourpurpose is thecategoryofstatistical
modelsGM(Ξ,Ω).
8.3.1. TheObjectsofGM(Ξ,Ω)
Definition48. Anm-dimensional statistacalmodel for (Ξ,Ω) is anobject ofFB(Γ,Ξ), namely
M=[E,π,M,D]
whichhas the followingproperties (ρ∗).
[ρ1]: For every local chart (U,ΦU×φU) the subset
[ΘU×Ξ]=ΦU(EU)
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Differential Geometrical Theory of Statistics
- Title
- Differential Geometrical Theory of Statistics
- Authors
- Frédéric Barbaresco
- Frank Nielsen
- Editor
- MDPI
- Location
- Basel
- Date
- 2017
- Language
- English
- License
- CC BY-NC-ND 4.0
- ISBN
- 978-3-03842-425-3
- Size
- 17.0 x 24.4 cm
- Pages
- 476
- Keywords
- Entropy, Coding Theory, Maximum entropy, Information geometry, Computational Information Geometry, Hessian Geometry, Divergence Geometry, Information topology, Cohomology, Shape Space, Statistical physics, Thermodynamics
- Categories
- Naturwissenschaften Physik