Page - 328 - in Differential Geometrical Theory of Statistics
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Entropy2016,18, 421
whereDā is deļ¬ned implicitly and0log0 := 0. The terms ν, Ļ, and Ļ aredeļ¬nedby theļ¬rst two
momentsofSāvia thevectors(
N
ν )
:=E(Sā)= (
N
āki=0E(n ā
i log ( nāi/μi )
) )
, (1)
(
N ĻĻ ā
N
Ā· Ļ2 )
:=Cov(Sā)= (
N āki=0Ci
Ā· āki=0Vi )
, (2)
whereCi :=Cov(nāi ,n ā
i log(n ā
i/μi))andVi :=Var(n ā
i log(n ā
i/μi)).
Theorem2. Eachof the termsν,Ļ, andĻ remainsboundedasĻminā0.
Westartwithsomepreliminaryremarks.Weuse the followingnotation:N :={1,2,...}denotes
the natural numbers, whileN0 := {0}āŖN . Throughout,X ā¼ Po(μ)denotes a Poisson random
variablehavingpositivemeanμāthat is,X isdiscretewithsupportN0 andprobabilitymass function
p :N0ā (0,1)givenby:
p(x) := eāμμx/x! (μ>0). (3)
Putting:
āmāN0, F[m](μ) :=Pr(Xā¤m)=āmx=0p(x)ā (0,1), (4)
for givenμ, {1āF[m](μ)} is strictlydecreasingwithm, vanishing asmāā. For all (x,m)āN20 ,
wedeļ¬nex(m)by:
x(0) :=1; x(m) := x(xā1)...(xā(mā1)) (māN) (5)
so that, ifxā„m,x(m)= x!/(xām)!.
ThesetA0 comprisesall functions a0 : (0,ā)āRsuchthat, asξā0+:
(i) a0(ξ) tends toan inļ¬nite limit a0(0+)ā{āā,+ā},while: (ii)ξa0(ξ)ā0.
Ofparticular interesthere,by lāHĆ“spitalās rule,
āmāN, (log)māA0, (6)
where (log)m : ξā (logξ)m (ξ>0). Foreach a0āA0, a0denotes its continuousextensionfrom (0,ā)
to [0,ā)āthat is: a0(0) := a0(0+); a0(ξ) := a0(ξ) (ξ> 0)āwhile, appealing to continuity,wealso
deļ¬ne0a0(0) :=0.Overall,denotingtheextendedrealsbyR :=RāŖ{āā}āŖ{+ā}, andputting
A :={a :N0āRsuchthat0a(0)=0}
wehavethatAcontains thedisjointunion:
{all functions a :N0āR}āŖ{a0|N0 : a0āA0}.
Werefer to a0|N0 as thememberofAbasedona0āA0.
Wemakerepeateduseof twosimple facts. First:
āxāN0, 0⤠log(x+1)⤠x, (7)
equalityholding inbothplaces if, andonly if,x=0. Second, (3)and(5)give:
ā(x,m)āN20 withxā„m, x(m)p(x)=μmp(xām) (8)
328
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