Seite - 316 - in Differential Geometrical Theory of Statistics
Bild der Seite - 316 -
Text der Seite - 316 -
Entropy2017,19, 7
Sinceadifferentialofapower function isalsoapower function,wecangiveacharacterization
forescortdistributions.
Proposition1. Suppose that Sq is a q-exponential family deďŹned by (1). Then the n-th escort distribution
is givenby the n-th differential of q-exponential function. That is, by settingu(t) = (expq t) â˛,wehave the
following formula:
pq(x;θ) = expq (
n
â
i=1 θiFi(x)âĎ(θ) )
,
Pq(x;θ)=Pq,(1)(x;θ) = u (
n
â
i=1 θiFi(x)âĎ(θ) )
,
PËq(x;θ)=Pq,(2)(x;θ) = u Ⲡ(
n
â
i=1 θiFi(x)âĎ(θ) )
,
... ...
Pq,(n)(x;θ) = u (nâ1) (
n
â
i=1 θiFi(x)âĎ(θ) )
,
... ...
Proof. Sinceaq-exponential function isexpq(x)=(1+(1âq))1/(1âq), itsdifferential isgivenby
u(x)= 1âq
1âq(1+(1âq)x) 1
1âqâ1=(1+(1âq)x) q
1âq ={expq x}q.
Therefore,weobtainPq(x;θ)=u ( âni=1θ iFi(x)âĎ(θ) )
.
Byinduction, then-thdifferentialofu(x)coincideswiththen-thescortdistributionPq,(n),whichis
givenbyEquation(5).
4. StatisticalManifoldsandTheirGeneralizedConformalStructures
In this section,weus reviewthegeometryof statisticalmanifolds. Formoredetails about the
geometryofstatisticalmanifolds, see [18,19].
Let (S,g)beaRiemannianmanifoldandâbeatorsion-freeafďŹneconnectiononS.Wesaythat
thetriplet (S,â,g) isa statisticalmanifold ifâg is totallysymmetric. In thiscase,wecandeďŹneatotally
symmetric (0,3)-tensorďŹeldby
C(X,Y,Z) :=(âXg)(Y,Z) = Xg(Y,Z)âg(âXY,Z)âg(Y,âXZ),
where X,Y and Z are arbitrary vector ďŹelds on S. The tensor ďŹeld C is called a cubic form or an
AmariâChentsov tensorďŹeld.
Thenotionofstatisticalmanifoldwas introducedbyLauritzen[20].Hecalled the triplet (S,g,C)
a statisticalmanifold. In this paper, the deďŹnition is followed toKurose [18]. Though these two
deďŹnitions aredifferent, theother statisticalmanifold structure canbeobtained fromagivenone,
However, themotivationfor thenotionofconformalequivalenceusing (S,g,C) isdifferent fromthat
oneusing (S,â,g),whichwewilldiscuss in the latterpartof this section.
Foragivenstatisticalmanifold (S,â,g),wecandeďŹneanother torsion-freeafďŹneconnectionââ
onSby
Xg(Y,Z)= g(âXY,Z)+g(Y,ââXZ).
316
Differential Geometrical Theory of Statistics
- Titel
- Differential Geometrical Theory of Statistics
- Autoren
- FrĂŠdĂŠric 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
- SchlagwĂśrter
- 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