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Wiener Chaos - Moments, Cumulants and Diagrams A Survey with Computer Implementation

Peccati, Giovanni; Taqqu, Murad S.
ISBN-10: 8847016789
ISBN-13: 9788847016781

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Giovanni Peccati is a Professor of Stochastic Analysis and Mathematical Finance at Luxembourg University. Murad S. Taqqu is a Professor of Mathematics and Statistics at Boston University.
Preface
Introduction
Overview
Some related topics
The lattice of partitions of a finite set
Partitions of a positive integer
Partitions of a set
Partitions of a set and partitions of an integer
Bell polynomials, Stirling numbers and Touchard polynomials
M�bius functions and M�bius inversion on partitions
M�bius functions on partially ordered sets
Incidence algebras and general M�bius inversion
Computing a M�bius function
Further properties of M�bius functions and a proof of (2.5.21)
Combinatorial expressions of cumulants and moments
Cumulants
Relations involving moments and cumulants
Bell and Touchard polynomials and the Poisson distribution
Diagrams and multigraphs
Diagrams
Solving the equation � � � = 0
From Gaussian diagrams to multigraphs
Summarizing diagrams and multigraphs
Wiener-It� integrals and Wiener chaos
Completely random measures
Single Wiener-It� integrals
Infinite divisibility of single integrals
Multiple stochastic integrals of elementary functions
Wiener-It� stochastic integrals
Integral notation
The role of diagonal measures
Example: completely random measures on the real line
Chaotic representation
Computational rules
Multiple Gaussian integrals of elementary functions
Multiple Poisson integrals of elementary functions
A stochastic Fubini theorem
Multiplication formulae
The general case
Contractions
Symmetrization of contractions
The product of two integrals in the Gaussian case
The product of two integrals in the Poisson case
Diagram formulae
Formulae for moments and cumulants
MSets and MZeroSets
The Gaussian case
The Poisson case
From Gaussian measures to isonormal Gaussian processes
Multiple stochastic integrals as Hermite polynomials
Chaotic decompositions
Isonormal Gaussian processes
Wiener chaos
Contractions, products and some explicit formulae
Hermitian random measures and spectral representations
The isonormal approach
The Gaussian measure approach
Spectral representation
Stochastic processes
Hermite processes
Further properties of Hermitian Gaussian measures
Caveat about normalizations
Some facts about Charlier polynomials
Limit theorems on the Gaussian Wiener chaos
Some features of the laws of chaotic random variables (Gaussian case)
A useful estimate
A general problem
One-dimensional CLTs in the Gaussian case
An application to Brownian quadratic functionals
Proof of the propositions
Further combinatorial implications
A multidimensional CLT
CLTs in the Poisson case: the case of double integrals
Practical implementation using Mathematica
General introduction
When Starting
Integer Partitions
IntegerPartitions
IntegerPartitionsExponentRepresentation
Basic Set Partitions
SingletonPartition
MaximalPartition
SetPartitions
PiStar
Operations with Set Partitions
PartitionIntersection
PartitionUnion
MeetSolve
JoinSolve
JoinSolveGrid
MeetAndJoinSolve
CoarserSetPartitionQ
CoarserThan
Partition Segments
PartitionSegment
ClassSegment
ClassSegmentSolve
SquareChoose
Bell and Touchard polynomials
StirlingS2
BellPolynomialPartial
BellPolynomialPartialAuto
BellPolynomialComplete
BellPolynomialCompleteAuto
BellB
TouchardPolynomial
TouchardPolynomialTable
TouchardPolynomialCentered
TouchardPolynomialCenteredTable
Mobius Formula
MobiusFunction
MobiusRecursionCheck
MobiusInversionFormulaZero
MobiusInversionFormulaOne
Moments and Cumulants
MomentToCumulants
MomentToCumulantsBell
MomentToCumulantsBellTable
CumulantToMoments
CumulantToMomentsBell
CumulantToMomentsBellTable
MomentProductToCumulants
CumulantVectorToMoments
CumulantProductVectorToCumulantVectors
GridCumulantProductVectorToCumulantVectors
CumulantProductVectorToMoments
Gaussian Multiple Integrals
GaussianIntegral
Poisson Multiple Integrals
BOne
BTwo
PBTwo
PoissonIntegral
PoissonIntegralExceed
Contraction and Symmetrization
ContractionWithSymmetrization
ContractionIntegration
ContractionIntegrationWithSymmetrization
Solving Partition Equations Involving �*
PiStarMeetSolve
PiStarJoinSolve
PiStarMeetAndJoinSolve
Product of Two Gaussian Multiple Integrals
ProducfTwoGaussianIntegrals
Product of Two Poisson Multiple Integrals
ProductTwoPoissonIntegrals
MSets and MZeroSets
MSets
MSetsEqualTwo
MSetsGreaterEqualTwo
MZeroSets
MZeroSetsEqualTwo
MZeroSetsGreaterEqualTwo
Hermite Polynomials
HermiteRho
HermiteRhoGrid
Hermite
HermiteGrid
HermiteH
HermiteHGrid
Poisson-Charlier Polynomials
Charlier
CharlierGrid
CharlierCentered
CharlierCenteredGrid
Tables of moments and cumulants
Centered and scaled Cumulant to Moments
Centered Cumulant to Moments
Cumulant to Moments
Centered and scaled Moment to Cumulants
Centered Moment to Cumulants
Moment to Cumulants
References
Index
Giovanni Peccati is Full Professor in Stochastic Analysis at the University of Luxembourg.


Edition: 2011
Publisher: Springer
Binding: Trade Cloth
Pages: 200
Size: 6.50" wide x 9.25" long x 0.25" tall
Weight: 1.54 lbs.
Language: English

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