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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
118 Current Trends in Bayesian Methodology with Applications
deterministic, but extremely complex, function of other physical variables.
This kind of modeling retains a high degree of fidelity to the true process by
which the data is generated. However, it is inevitable that not all featur e s
of a sy stem as complex as climate will be measured or retained in vario us
forms of data r e c ords. Also, our pr e sent state of knowledge about how differ-
ent physical, atmospheric, geophysical and other variables interplay is limited,
as is natural in any scientific discipline. A very partial and incomplete review
of natural scientific modeling of climate may be o btained from [14], [21], [9],
[11] and several references therein. A Bayesian framewo rk wher
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Publisher Resources

ISBN: 9781482235128