Time-like graphical models
Author(s)
Bibliographic Information
Time-like graphical models
(Memoirs of the American Mathematical Society, no. 1262)
American Mathematical Society, c2019
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Note
"September 2019, volume 261, number 1262 (sixth of 7 numbers)"
Includes bibliographical reference (p. 167-168) and index
Description and Table of Contents
Description
The author studies continuous processes indexed by a special family of graphs. Processes indexed by vertices of graphs are known as probabilistic graphical models. In 2011, Burdzy and Pal proposed a continuous version of graphical models indexed by graphs with an embedded time structure-- so-called time-like graphs. The author extends the notion of time-like graphs and finds properties of processes indexed by them. In particular, the author solves the conjecture of uniqueness of the distribution for the process indexed by graphs with infinite number of vertices.
The author provides a new result showing the stochastic heat equation as a limit of the sequence of natural Brownian motions on time-like graphs. In addition, the author's treatment of time-like graphical models reveals connections to Markov random fields, martingales indexed by directed sets and branching Markov processes.
Table of Contents
Introduction
Part 1. Construction and properties: Geometry of time-like graphs
Processes indexed by time-like graphs
Markov properties of processes indexed by TLG's
Filtrations, martingales and stopping times
Part 2. Natural Brownian motion and the stochastic heat equation: Maximums of Gaussian processes
Random walk and stochastic heat equation reviewed
Limit of the natural Brownian motion on a rhombus grid
Part 3. Processes on general and random time-like graphs: Non-simple TLG's
Processes on non-simple TLG's
Galton-Watson time-like trees and the Branching Markov processes
Open questions and appendix: Open questions
Appendix A. Independence and processes
Acknowledgments
Bibliography
Index.
by "Nielsen BookData"