Page - 214 - in Differential Geometrical Theory of Statistics
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Entropy2016,18, 433
beanm-dimensionalstatisticalmodelforameasurableset(Ξ,Ω). Todefinethefamilyofα-connections
wework ina local chart (ΦU,ΦU).
Weset
ΘU=φU(U),
Θ×Ξ=ΦU(EU).
Inthebasemanifold(M,D) thelocalchart [U,φu)yieldsasystemoflocalaffinecoordinatefunctions
θ=(θ1,...,θm).
Weuse the notation as in [18]. Given a real number α wedefine the α-connection∇α by its
Christoffel symbols in the local coordinate functions θ. ThoseChristoffel are denoted by Γαi j : k.
Weproceedas it follows.
Step1: In theopensubsetΘU⊂Rmweput
Γ˜α,Uij:k (θ)= ∫
Ξ PU(θ,ξ) {
[ ∂2ln(θ,ξ)
∂θi∂θj + 1+α
2 ∂ln(θ,ξ)
∂θi ∂ln(θ,ξ)
∂θj ] ∂ln(θ,ξ)
∂θk }
dξ.
This localdefinitionof Γ˜αij:k agreeswithaffinecoordinatechange inΘU.
Step2: In theopensubsetUΓα,Uij:k isdefinedby
Γα,Uij:k = Γ˜ α,U
ij:k ◦φU.
Since thedefinitionof Γ˜αij:k agreeswithanaffinecoordinatechangewecanuseanatlas
A=[Uj,Φj×φj,γij]
for constructing aKoszul connection∇α(A). Since the construction of∇α(A) agreeswith affine
coordinatechangetheconnection∇α(A) is independent fromthechoiceofA. Everyα-connection is
torsionfree. SoanMSE-fibration
[E,p]→ [M,D]
givesrise toama
R α→∇α∈SLC(M).
If theFisher informationg isdefinite then (M,g,∇α,∇−α) isadualpair [17,48].
By thevirtueof thedefinitionof theFisher informationga local sectionof sectionofKer(g) is
a localvectorfieldX∈X(M)suchthat
X ·p=0.
Therefore, it iseasilyseenthat
LXg=0.
So ifdataareanalytic theng isastratifiedRiemannianfoliation.
8.4.4. TheHomologicalNatureof theProbabilityDensity
WeconsideraMSE-fibration
M :=[E,p]→ [M,D].
Werecall thatarandomdifferentialq-forminE isamapping
E e→ω(e)∈∧q(T∗π(e))M
214
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