Page - 200 - in Differential Geometrical Theory of Statistics
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Entropy2016,18, 433
Weintendto face the followingchallenges.
Challenge1. Revisit the theoryofgeometric statisticalmodels formeasurablesets.
Challenge2. TheSearch forageometric characteristic invariant for statisticalmodels.Werecall that
suchan invariantwill encode thepoints themoduli spaceofmodels. Before continuingwe recall
somedefinitions.
Definition42. Ageometric invariantof amodel for (Ξ,Ω) is adatumwhich is invariantunder theactionof
the symmetrygroupAut(Ξ,Ω).
Theframeworkwhich isuseful for re-establishingthe theoryofstatisticalmodels is thecategory
of locally trivialfiberbundles.
Aswehavementionedtheneedfor introducinganewtheoryofstatisticalmodelemerges from
somecriticisms.Werecall thedefinitionastatisticalmodel [18,22,24].
Definition43. Anm-dimensional statisticalmodel for ameasurable set (Ξ,Ω) is a pair (Θ,P)having the
propertieswhich follow.
(1) ThemanifoldΘ is anopensubset of them-dimensionalEuclideanspaceRm.
(2) P is apositive realvalued function
Θ×Ξ (θ,ξ)→P(θ,ξ)∈R
subject to the requirementswhich follow.
(3) The functionP(θ,ξ) isdifferentiablewith respect toθ∈Θ.
(4) For everyfixedθ∈Θoneset
Pθ=P(θ,−)
then the triple
(Ξ,Ω,Pθ)
is aprobability space, viz ∫
Ξ Pθ(ξ)dξ=1
Furthermore theoperationofdifferentiation
dθ= d
dθ
commuteswith theoperationof integration ∫
Ξ.
(5) (Θ,P) is identifiable, viz forθ,θ∗ ∈Θ
Pθ=Pθ∗
if andonly if
θ= θ∗
(6) TheFisher information
gθ(X,Y)= ∫
Ξ P(θ,ξ)[dθlog(P(θ,ξ))]⊗2(X,Y)dξ
ispositivedefinite.
SomeCriticisms.
TheFirstCritique
200
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