Seite - 189 - in Differential Geometrical Theory of Statistics
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Entropy2016,18, 433
Theconsiderationswejustdiscussedmayhaveremarkableimpactsonthetopological-geometrical
structureofstatisticalmanifolds.
Fromourbriefdiscussionweconclude
Theorem12. Consider a statisticalmanifold (M,g,∇,∇∗). Every non trivial simple symplectic foliation
ω∈Ω∇2 (M) isdefinedbyaRiemanniansubmersiononasymplecticmanifold.
Corollary4. Everynontrivial simple symplecticweb [ωj, j∈ J]⊂Ω∇2 (M) isdefinedby familyofRiemannian
submersionsonsymplecticmanifols.
5.2. TheHessian InformationGeometry,Continued
In [52]Shimapointedout that theFisher informationsofmanyclassical statisticalmodels are
Hessianmetric tensors.
Atanother side theexponentialmodels (orexponential family)maybeconsideredasoptimal
Statisticalmodels.
Asalreadymentionedtheredoesnotexistsanycriterionforknowingwhetheragivenstatistical
model is isomorphic toanexponentialmodel [22], [13]
In thecategoryof regularmodels,vizmodelswhoseFisher information isaRiemannianmetric,
it isknownthat theFisher informationofanexponentialmodel isaHessianRiemannianmetric [18,52].
In this subsectionweaddress thegeneral situation.Wegiveacohomological characterizationof
exponentialmodels.Wealso introduceanewnumerical invariant rbwhichmeasureshowfar from
beinganexponential family isagivenstatisticalmodel. See theAppendixAtothispaper.
Werecall that themetric tensorgofaHessianstructure (M,D,g) isa2-cocycleof theKVcomplex
[C∗KV(A,R),δKV].
Tononspecialistswegotorecallsomeconstructions inthegeometryofKoszul [2,52], seealso[53].
Let ((M,x∗),D)beapointed locallyflatmanifoldwhoseuniversal covering isdenotedby (M˜,D˜).
Here the topological space M˜ is thesetofhomotopyclassofcontinuouspaths
{([0,1],0)→ (M,x∗)}.
Its topology is thecompact-opentopology. Let cbeacontinuouspathwith
c(0)=x∗.
For s∈ [0,1] theparallel transportofTx∗M inTc(s)M isdenotedbyτs. OnedefinesQ(c)∈Tx∗Mby
Q(c)= ∫ 1
0 τ−1s ( dc(s)
ds )ds.
The tangentvectorQ(c)dependsonlyonthehomotopyclassof thepath c. Therefore,Qdefines
a localhomeomorphism
Q˜ : M˜→Tx∗M.
Letπ1(x∗)bethe fundamentalgroupatx∗. Let [γ]∈π1(x∗). Thenatural leftaction
π1(x∗)×M˜→ M˜
isgivenbythecompositionofpaths,viz
[γ].[c]= [γ◦c].
Theparallel transportalonga loopγ(t)yieldsa linearactionofπ1(x∗) inTx∗Mwhich isdenoted
by f([γ]).
189
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