Translator Disclaimer
March, 1992 Product Partition Models for Change Point Problems
Daniel Barry, J. A. Hartigan
Ann. Statist. 20(1): 260-279 (March, 1992). DOI: 10.1214/aos/1176348521

Abstract

Product partition models assume that observations in different components of a random partition of the data are independent. If the probability distribution of random partitions is in a certain product form prior to making the observations, it is also in product form given the observations. The product model thus provides a convenient machinery for allowing the data to weight the partitions likely to hold; and inference about particular future observations may then be made by first conditioning on the partition and then averaging over all partitions. These models apply with special computational simplicity to change point problems, where the partitions divide the sequence of observations into components within which different regimes hold. We show, with appropriate selection of prior product models, that the observations can eventually determine approximately the true partition.

Citation

Download Citation

Daniel Barry. J. A. Hartigan. "Product Partition Models for Change Point Problems." Ann. Statist. 20 (1) 260 - 279, March, 1992. https://doi.org/10.1214/aos/1176348521

Information

Published: March, 1992
First available in Project Euclid: 12 April 2007

zbMATH: 0780.62071
MathSciNet: MR1150343
Digital Object Identifier: 10.1214/aos/1176348521

Subjects:
Primary: 62M20
Secondary: 62C12, 62G05, 93E14

Rights: Copyright © 1992 Institute of Mathematical Statistics

JOURNAL ARTICLE
20 PAGES


SHARE
Vol.20 • No. 1 • March, 1992
Back to Top