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Bayesian analysis of regression models with spatially correlated errors and missing observations

Title
Bayesian analysis of regression models with spatially correlated errors and missing observations
Authors
Oh M.-S.Shin D.W.Kim H.J.
Ewha Authors
오만숙신동완
SCOPUS Author ID
오만숙scopus; 신동완scopus
Issue Date
2002
Journal Title
Computational Statistics and Data Analysis
ISSN
0167-9473JCR Link
Citation
vol. 39, no. 4, pp. 387 - 400
Indexed
SCIE; SCOPUS WOS scopus
Abstract
A Bayesian approach is proposed for estimating regression models on rectangular grids in which errors are spatially correlated and missing observations are present in the response variable. An easy and efficient Markov chain Monte Carlo algorithm is fully described for posterior inference on parameters and prediction of missing observations. Analysis of a real marine remote-sensing data set is presented to illustrate the method. © 2002 Elsevier Science B.V. All rights reserved.
DOI
10.1016/S0167-9473(01)00084-6
Appears in Collections:
자연과학대학 > 통계학전공 > Journal papers
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