Web-Books
im Austria-Forum
Austria-Forum
Web-Books
Naturwissenschaften
Physik
Differential Geometrical Theory of Statistics
Seite - 392 -
  • Benutzer
  • Version
    • Vollversion
    • Textversion
  • Sprache
    • Deutsch
    • English - Englisch

Seite - 392 - in Differential Geometrical Theory of Statistics

Bild der Seite - 392 -

Bild der Seite - 392 - in Differential Geometrical Theory of Statistics

Text der Seite - 392 -

Entropy2016,9, 337 Proof. Let >0begiven. BythesummabilityofK, thereexistsapositiverealnumber r, suchthat:∫ Rq−B(0,r) K(‖x‖)dx< with B(0,r) the open ball of radius r centered at the origin. Since B(0,r)⊂ B(0,rν−1) for ν > 0, thesameholds forallof the familyKν. LetB(0,M)beanopenball containingγ([0,1]). Then: μν ( R q−B(0,M+r) ) = ∫ Rq−B(0,M+r) ∫ 1 0 Kν(‖x−γ(t)‖)‖γ′(t)‖dtdx = ∫ 1 0 ∫ Rq−B(0,M+r) Kν(‖x−γ(t)‖)‖γ′(t)‖dxdt ≤ ∫ 1 0 ‖γ′(t)‖dt= l(γ) (8) where l(γ)denotes the lengthofγ. Thisproves the tightnessof the familyKν. Let f :Rq→Rbeaboundedcontinuousmapping. Itbecomes: Iν(f)= ∫ Rq ∫ 1 0 Kν(‖x−γ(t)‖) f(x)‖γ′(t)‖dtdx= ∫ 1 0 ∫ Rq Kν(‖x−γ(t)‖) f(x)‖γ′(t)‖dxdt = ∫ 1 0 ∫ Rq K(‖x‖) f (xν+γ(t))‖γ′(t)‖dxdt (9) andsince f isbounded, thedominatedconvergence theoremshowsthat: lim ν→0 Iν(f)= ∫ 1 0 f (γ(t))‖γ′(t)‖dt provingthesecondpartof theclaim. Thedensity in (7) is forasinglecurveof the formd(x)= l(γ)−1 ∫1 0 K(‖x−γ(t)‖)‖γ′(t)‖dtwith l(γ) the lengthof thecurveγ. It is invariantunder thechangeof theparameterandcanbewritten ina moreconcisewayas: ∫ 1 0 K(‖x−γ(η)‖)‖dη (10) whereη is thearclength times l(γ)−1. This formallowsasimpleprobabilistic interpretationof thedensityd: if apointu isdrawnonthe curveγaccordingtoauniformdistributionandindependentlyavectorv inRqwithadensityK (the multivariatekernelcorrespondingtoK), thenthedensityofx=u+v isgivenbyEquation(10). Proposition 2. If themultivariate kernelK has a finite secondmoment, that is the univariate kernel K is such that: M= ∫ R+ rq+1K(r)dr<+∞ then theWassersteindistancebetween thedensities d1,d2 associatedwith smoothcurvesγ1,γ2 is boundedby: 2Vol(Sq−1)M+D(γ1,γ2) with : D(γ1,γ2)= ∫ 1 0 ‖γ1(η)−γ2(η)‖2dη where eachcurve isparametrizedby the scaledarclengthas in (10). 392
zurück zum  Buch Differential Geometrical Theory of Statistics"
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
Web-Books
Bibliothek
Datenschutz
Impressum
Austria-Forum
Austria-Forum
Web-Books
Differential Geometrical Theory of Statistics