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Entropy2016,18, 421 whereDāˆ— is defined implicitly and0log0 := 0. The terms ν, Ļ„, and ρ aredefinedby thefirst two momentsofSāˆ—via thevectors( N ν ) :=E(Sāˆ—)= ( N āˆ‘ki=0E(n āˆ— i log ( nāˆ—i/μi ) ) ) , (1) ( N ρτ √ N Ā· Ļ„2 ) :=Cov(Sāˆ—)= ( N āˆ‘ki=0Ci Ā· āˆ‘ki=0Vi ) , (2) whereCi :=Cov(nāˆ—i ,n āˆ— i log(n āˆ— i/μi))andVi :=Var(n āˆ— i log(n āˆ— i/μi)). Theorem2. Eachof the termsν,Ļ„, andρ remainsboundedasĻ€min→0. Westartwithsomepreliminaryremarks.Weuse the followingnotation:N :={1,2,...}denotes the natural numbers, whileN0 := {0}∪N . Throughout,X ∼ Po(μ)denotes a Poisson random variablehavingpositivemeanμ—that is,X isdiscretewithsupportN0 andprobabilitymass function p :N0→ (0,1)givenby: p(x) := eāˆ’Ī¼Ī¼x/x! (μ>0). (3) Putting: āˆ€m∈N0, F[m](μ) :=Pr(X≤m)=āˆ‘mx=0p(x)∈ (0,1), (4) for givenμ, {1āˆ’F[m](μ)} is strictlydecreasingwithm, vanishing asmā†’āˆž. For all (x,m)∈N20 , wedefinex(m)by: x(0) :=1; x(m) := x(xāˆ’1)...(xāˆ’(māˆ’1)) (m∈N) (5) so that, ifx≄m,x(m)= x!/(xāˆ’m)!. ThesetA0 comprisesall functions a0 : (0,āˆž)→Rsuchthat, asξ→0+: (i) a0(ξ) tends toan infinite limit a0(0+)∈{āˆ’āˆž,+āˆž},while: (ii)ξa0(ξ)→0. Ofparticular interesthere,by l’HĆ“spital’s rule, āˆ€m∈N, (log)m∈A0, (6) where (log)m : ξ→ (logξ)m (ξ>0). Foreach a0∈A0, a0denotes its continuousextensionfrom (0,āˆž) to [0,āˆž)—that is: a0(0) := a0(0+); a0(ξ) := a0(ξ) (ξ> 0)—while, appealing to continuity,wealso define0a0(0) :=0.Overall,denotingtheextendedrealsbyR :=R∪{āˆ’āˆž}∪{+āˆž}, andputting A :={a :N0→Rsuchthat0a(0)=0} wehavethatAcontains thedisjointunion: {all functions a :N0→R}∪{a0|N0 : a0∈A0}. Werefer to a0|N0 as thememberofAbasedona0∈A0. Wemakerepeateduseof twosimple facts. First: āˆ€x∈N0, 0≤ log(x+1)≤ x, (7) equalityholding inbothplaces if, andonly if,x=0. Second, (3)and(5)give: āˆ€(x,m)∈N20 withx≄m, x(m)p(x)=μmp(xāˆ’m) (8) 328
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Differential Geometrical Theory of Statistics
Title
Differential Geometrical Theory of Statistics
Authors
FrƩdƩric 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
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Differential Geometrical Theory of Statistics