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- W2332548904 abstract "AbstractWe consider the hierarchical Bayesian models of change-point problem in a sequence of random variables having either normal population or skew-normal population. Further, we consider the problem of detecting an influential point concerning change point using Bayes factors. Our proposed models are illustrated with the real data example, the annual flow volume data of Nile River at Aswan from 1871 to 1970. The result using our proposed models indicated the largest influential observation in the year 1888 among outliers. We have shown that it is useful to measure the influence of observations on Bayes factors. Here, we consider omitting single observation as well." @default.
- W2332548904 created "2016-06-24" @default.
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- W2332548904 date "2016-03-03" @default.
- W2332548904 modified "2023-09-28" @default.
- W2332548904 title "Bayesian change-point problem using Bayes factor with hierarchical prior distribution" @default.
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- W2332548904 doi "https://doi.org/10.1080/03610926.2015.1019143" @default.
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