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Differential Geometrical Theory of Statistics
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Entropy2016,18, 425 In (16), thecurvature termsappear in thecovariantacceleration fornormalMPPs,whilecubic splines leads to thecurvature termappearing in the thirdorderderivative. 5.CometricFormulationandLow-RankGenerator Wenowinvestigateacometric gFkM+λgR,where gR isRiemannian, gFkM is a rank kpositive semi-definite innerproductarisingfromk linearly independent tangentvectors,andλ>0aweight. WeassumethatgFkM is chosenso thatgFkM+λgR is invertible, eventhoughgFkM is rank-deficient. The situation corresponds to extracting the first k eigenvectors in Euclidean space PCA. If the eigenvectorsareestimatedstatistically fromobserveddata, thisallowstheestimationtoberestricted toonly thefirstkeigenvectors. Inaddition,an importantpractical implicationof theconstruction is thatanumerical implementationneednot transporta fulld×dmatrix for the frame,butapotentially much lowerdimensionald×kmatrix. Thispoint is essentialwhendealingwithhigh-dimensional data, examplesofwhichare landmarkmanifoldsasdiscussed inSection6. Whenusingthe framebundle tomodelcovariances, thesumformulation isnatural toexpressas acometric comparedtoametricbecause,with thecometric formulation,gFkM+λgR representsasum of covariancematrices insteadofa sumofprecisionmatrices. Thus, gFkM+λgR canbe intuitively thoughtofasadding isotropicnoiseofvarianceλ to thecovariancerepresentedbygFkM. To pursue this, let FkM denote the bundle of rank k linear mapsRk → TxM. We define acometricby 〈 ξ, ξ˜ 〉 = δαβ(ξ|hu(uα))(ξ˜|hu(uβ))+λ 〈 ξ, ξ˜ 〉 gR forξ, ξ˜∈T∗uFkM. Thesumoverα,β is forα,β=1,. . . ,k. Thefirst termisequivalent to the lift (9)of thecometric 〈 ξ, ξ˜ 〉 = ( ξ|gu(ξˆ) ) givenu :Rk→TxM.Note that in thedefinition(6)ofgu, themapu is not inverted; thus, thedefinitionof themetric immediatelycarriesover to therank-deficientcase. Let (xi,uiα),α=1,. . . ,kbeacoordinatesystemonFkM. Theverticaldistribution is in thiscase spannedby the dkvectorfieldsDjβ = ∂ujβ . Except for index sumsbeingover k insteadof d terms, thesituation is thussimilar to the full-rankcase.Note that (ξ|π−1∗ w)=(ξ|wjDj)=wiξi. Thecometric incoordinates is 〈 ξ, ξ˜ 〉 = δαβuiαξiu j βξ˜j+λg ij Rξiξ˜j= ξi ( δαβuiαu j β+λg ij R ) ξ˜j= ξiWijξ˜j withWij = δαβuiαu j β+λg ij R. We can thenwrite the corresponding sub-Riemannianmetric gFkM in termsof theadaptedframeD gFkM(ξhD h+ξhγD hγ)=WihξhDi (17) because (ξ|gFkM(ξ˜))= 〈 ξ, ξ˜ 〉 = ξiWijξ˜j. That is, thesituation isanalogousto(11), except the termλg ij R isaddedtoWij. ThegeodesicsystemisagaingivenbytheHamilton–Jacobiequations.As in the full-rankcase, thesystemisspecifiedbythederivativesofgFkM: ∂ylg ij FkM=W ij ,l , ∂ylg ijβ FkM=−Wih,lΓ jβ h −WihΓ jβ h,l , ∂ylg iαj FkM=−Γ iα h,lW hj−ΓiαhW hj ,l , ∂ylg iαjβ FkM=Γ iα k,lW khΓ jβ h +Γ iα kW kh ,lΓ jβ h +Γ iα kW khΓ jβ h,l , ∂ ylζ gijFkM=W ij ,lζ , ∂ ylζ g ijβ FkM=−Wih,lζΓ jβ h −WihΓ jβ h,lζ , ∂ ylζ giαjFkM=−Γ iα hW hj ,lζ −Γiαh,lζW hj , ∂ ylζ g iαjβ FkM=Γ iα k,lζ WkhΓ jβ h +Γ iα kW kh ,lζΓ jβ h +Γ iα kW khΓ jβ h,lζ , Γiαh,lζ = ∂ylζ ( Γihku k α ) = δζαΓihl , W ij ,l =λg ij R ,l , W ij ,lζ = δilujζ+δ jluiζ . 415
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
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Differential Geometrical Theory of Statistics