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- W857832563 abstract "The Bayesian multiple change-point estimation has been applied to the daily means of ozone and PM10 data in Seoul for the period 1999. We focus on the detection of multiple change-points in the ozone and PM10 bivariate vectors by evaluating the posterior probabilities and Bayesian information criterion(BIC) using the stochastic approximation Monte Carlo(SAMC) algorithm. The result gives 5 change-points of mean vectors of ozone and PM10, which are related with the seasonal characteristics." @default.
- W857832563 created "2016-06-24" @default.
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- W857832563 date "2009-08-31" @default.
- W857832563 modified "2023-09-29" @default.
- W857832563 title "Multiple Change-Point Estimation of Air Pollution Mean Vectors" @default.
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- W857832563 doi "https://doi.org/10.5351/kjas.2009.22.4.687" @default.
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