Nonhomogeneity Analysis Using Borrowed Strength
作者:
CareyE. Priebe,
期刊:
Journal of the American Statistical Association
(Taylor Available online 1996)
卷期:
Volume 91,
issue 436
页码: 1497-1503
ISSN:0162-1459
年代: 1996
DOI:10.1080/01621459.1996.10476717
出版商: Taylor & Francis Group
关键词: Change detection;Maximum likelihood;Mixture model;Multiple comparison;Profile likelihood;Random field
数据来源: Taylor
摘要:
This article develops a “borrowed strength” methodology for estimating local probability densities in a random field. Under a piecewise stationarity condition similarities between the densities in different regions of the field can be exploited by estimating a global mixture density and imposing the parameter-space support of this borrowed strength estimate on the local estimation problems. The local estimates are then used in an analysis of the homogeneity of the field, which is shown to benefit from the method of borrowing strength.
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