Seite - 209 - in Differential Geometrical Theory of Statistics
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Entropy2016,18, 433
Comments.
(i) Wetake intoaccounttheglobalprobabilitydensity p.Thenanobjectof thecategoryGM(Ξ,Ω) isdenotedby
[E,π,M,D,p].
(ii) The function p isΓ-equivariant. THISISTHEGEOMETRYinthe senseofErlangenprogram.
(iii)Wehavenotusedanyargumentdepending thedimensionofmanifolds.
TheFigure5expresses coherence to localprobabilitydensitiesWeare inposition todefine themorphismsof
the categoryGM(Ξ,Ω).
B1A1 C1 R
A B C
φi
π Φi γij
γij
φj
Φj
Pi Pj
p1
p1
Figure5.Localisation.
Ei E
R
Pi
p
Figure6.ProbabilityDensity.
InFigure5oneseesthatmodulothedynamicsof thegroupΓ inRm×Ξall localizationslookalike.
Figure6showthat localprobabilitydensities{pi}arebut localizationsofaglobalprobabilitydensityp
8.3.3. TheMorphismsofGM(Ξ,Ω)
Definition 51. LetM = [E,π,M,D,p] andM∗ = [E∗,π∗,M∗,D∗,p∗] be two objects of the category
GM(Ξ,Ω). AFB(Γ,Ξ)-morphism
(Ψ×ψ) : [E,π,M,D]→ [E∗,π∗,M∗,D∗]
209
Differential Geometrical Theory of Statistics
- Titel
- Differential Geometrical Theory of Statistics
- Autoren
- Frédéric Barbaresco
- Frank Nielsen
- Herausgeber
- MDPI
- Ort
- Basel
- Datum
- 2017
- Sprache
- englisch
- Lizenz
- CC BY-NC-ND 4.0
- ISBN
- 978-3-03842-425-3
- Abmessungen
- 17.0 x 24.4 cm
- Seiten
- 476
- Schlagwörter
- Entropy, Coding Theory, Maximum entropy, Information geometry, Computational Information Geometry, Hessian Geometry, Divergence Geometry, Information topology, Cohomology, Shape Space, Statistical physics, Thermodynamics
- Kategorien
- Naturwissenschaften Physik