2012
DOI: 10.1007/s11401-012-0745-9
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Statistical structures on metric path spaces

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Cited by 4 publications
(4 citation statements)
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“…• Statistical manifolds, where the tensor∇g is symmetric in all its entries and connection∇ is torsion-free, e.g., [9,16,17]. These conditions are equivalent to T ∧ = T and T * = T. The theory of affine hypersurfaces in R n+1 is a natural source of such manifolds; they also find applications in theory of probability and statistics.…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…• Statistical manifolds, where the tensor∇g is symmetric in all its entries and connection∇ is torsion-free, e.g., [9,16,17]. These conditions are equivalent to T ∧ = T and T * = T. The theory of affine hypersurfaces in R n+1 is a natural source of such manifolds; they also find applications in theory of probability and statistics.…”
Section: Introductionmentioning
confidence: 99%
“…is an analog of (2), where S is replaced by the mixed scalar curvature S mix , see (9), for the affine connection∇ = ∇ + T. The physical meaning of (4) is discussed in [1] for the case of T = 0. In view of the formula S = S mix + S ⊤ + S ⊥ , where S ⊤ and S ⊥ are the scalar curvatures along the distributions D and D, one can combine the actions (2) and 4 (S + ε S mix − 2 Λ) + L d vol g with ε ∈ R, whose critical points may describe geometry of the space-time in an extended theory of gravity.…”
Section: Introductionmentioning
confidence: 99%
“…• Statistical manifolds, where the tensor∇g is symmetric in all its entries and connection∇ is torsion-free, e.g., [10,18,19]. These conditions are equivalent to T ∧ = T and T * = T. The theory of affine hypersurfaces in R n+1 is a natural source of such manifolds; they also find applications in theory of probability and statistics.…”
Section: State Of the Artmentioning
confidence: 99%
“…If a distribution is spanned by a unit vector field N , i.e., N, N = N ∈ {−1, 1}, then S mix = N Ric N,N , where Ric N,N is the Ricci curvature in the N -direction. If dim M = 2 and dim D = 1, then obviously 2S mix = S. If T = 0 then S mix reduces to the mixed scalar curvature S mix of ∇, see (10), which can be defined as a sum of sectional curvatures of planes that non-trivially intersect with both of the distributions. Investigation of S mix led to multiple results regarding the existence of foliations and submersions with interesting geometry, e.g., integral formulas and splitting results, curvature prescribing and variational problems, see survey [23].…”
Section: Objectivesmentioning
confidence: 99%