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Numerical Bayesian inference with arbitrary prior

โœ Scribed by Efthymios G. Tsionas


Book ID
105659916
Publisher
Springer-Verlag
Year
2000
Tongue
English
Weight
595 KB
Volume
41
Category
Article
ISSN
0932-5026

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NUMERICAL METHODS FOR ESTIMATION AND INF
โœ K. RAO KADIYALA; SUNE KARLSSON ๐Ÿ“‚ Article ๐Ÿ“… 1997 ๐Ÿ› John Wiley and Sons ๐ŸŒ English โš– 685 KB

In Bayesian analysis of vector autoregressive models, and especially in forecasting applications, the Minnesota prior of Litterman is frequently used. In many cases other prior distributions provide better forecasts and are preferable from a theoretical standpoint. Several of these priors require nu