Decoupling Identities and Predictable Transformations in Exchangeability.

Abstract

Let X=(X1,...,Xd) and V=(V1,...,Vd) be processes on (0,1) or R+, such that X is exchangeable while Vd is predictable. Under suitable conditions on X and V, the expression E(pi) Integral over j of (V sub j dX sub j) will only depend on the marginal distributions of X and V. From statements of this type in discrete or continuous time, one may easily derive a variety of old and new results on predictable transformations which preserve the distribution of an exchangeable sequence or process. The same method yields a general result about reduction of continuous local martingales and marked point processes to independent Gaussian and Poisson random fields. Keywords: Stochastic integrals; Product moments; Invariance in distribution; Levy processes; Martingales; Point processes; Brownian bridge; Random time changes.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 1987
Accession Number
ADA186013

Entities

People

  • Olav Kallenberg

Organizations

  • University of North Carolina at Chapel Hill

Tags

DTIC Thesaurus Topics

  • Abstracts
  • Brownian Motion
  • Covariance
  • Data Science
  • Decoupling
  • Differential Equations
  • Identities
  • Integrals
  • Invariance
  • Mathematics
  • North Carolina
  • Probability
  • Random Variables
  • Sequences
  • Statistics
  • Stochastic Processes
  • Two Dimensional

Fields of Study

  • Mathematics

Readers

  • Mathematical Modeling and Probability Theory.
  • Statistical inference.