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Entropy2016,18, 433 supports anonnegative realvalued functionPU subject to the followingrequirements. [ρ1.1]: For everyfixedξ∈Ξ the function ΘU θ→PU(θ,ξ) isdifferentiable. [ρ1.2]: For everyfixedθ∈ΘU the triple (Ξ,Ω,PU(θ,−)) is aprobability space. Further the operationof integration ∫ Ξ commuteswith the operationofdifferentiation dθ = ddθ . [ρ1.3]: Let (U,ΦU×φU,PU)and (U∗,ΦU∗×φU∗,PU∗)beas in [ρ1.1]and in [ρ1.2]. IfU∩U∗ =∅ thenPU,PU∗ andγUU∗ are relatedby the formula PU∗ ◦γUU∗=PU. [ρ1.4]: LetU⊂ Mbe an open subset and let γ ∈ Γ. Let us assume that bothU and γ ·Uare domains of local charts (U,ΦU×φU,PU) and (γ ·U,Φγ·U×φγ·U,Pγ·U). Weassumethat those local charts satisfyρ1.1,ρ1.2 andρ1.3. Then the relations Φγ·U◦γ=γ◦ΦU, φγ·U◦γ=γ◦φU, implies the equality Pγ·U◦γ=PU· AComment. Actually, ([ρ1.3])has the followingmeaning: PU∗[γ˜UU∗ ·θU(e),γUU∗ ·ξU(e)]=PU(θU(e),ξU(e)) ∀e∈EU∩U∗. TheFigure4represents (ρ1.3) E∗E E∗E M M∗ M∗M π∗ γ π γ Φ γ Φ φ φ Figure4.Moduli. This ends the comment. 207
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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
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Differential Geometrical Theory of Statistics