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Current Trends in Bayesian Methodology with Applications
book

Current Trends in Bayesian Methodology with Applications

by Satyanshu K. Upadhyay, Umesh Singh, Dipak K. Dey, Appaia Loganathan
May 2015
Intermediate to advanced content levelIntermediate to advanced
680 pages
22h 33m
English
Chapman and Hall/CRC
Content preview from Current Trends in Bayesian Methodology with Applications
600 Current Trends in Bayesian Methodology with Applications
1950 1960 1970 1980 1990 2000 2010
−2 0 2 4
year
U
[t]
+ β
FIGURE 28.7
Posterior predictive check. The full time series is simulated from the poster ior
predictive distribution 5000 times, and 95% po intwise posterior predictive
intervals are given by the dashed lines. Gray circles represent the o bserved
G(Y ) = ω
T
˜
Y . The observed data are consistent with the po sterior predictive
distribution.
all three proxies are observed. The simulated series are c onsistent with the
observed data.
Since solar physicis ts are concerned with predicting the timing of solar
cycles, we can obtain fitted values
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Publisher Resources

ISBN: 9781482235128