Titlebook: Bayesian Forecasting and Dynamic Models; Mike West,Jeff Harrison Book 19891st edition Springer Science+Business Media New York 1989 data a

散步

Exponential Family Dynamic Models,n-normal problems, the largest class being that based on the use of . for observational distributions. This Chapter is devoted to these models, the primary references being Migon (1984), Migon and Harrison (1985), and West and Harrison (1986a), West, Harrison and Migon (1985).

作茧自缚

intellect

Coronary

晚来的提名

Liang Lin,Dongyu Zhang,Ping Luo,Wangmeng Zuod from the various TSDLMs of the previous chapter. Together with complementary forms from models for the effects of independent variables, these provide essentially all practically important dynamic linear models.

烦人

门闩

Model Specification and Design,d from the various TSDLMs of the previous chapter. Together with complementary forms from models for the effects of independent variables, these provide essentially all practically important dynamic linear models.

革新

Appendix: Distribution Theory and Linear Algebra,re discussed in detail as they are of some importance and should be clearly understood. For a comprehensive reference to all the distribution theory, see Johnson and Kotz (1972). For distribution theory specifically within the contexts of Bayesian analyses, see Aitchison and Dunsmore (1976), Box and Tiao (1973), and De Groot (1971).

PHON

砍伐