Exponential Family Dynamic Models

  • Mike West
  • Jeff Harrison
Part of the Springer Series in Statistics book series (SSS)

Abstract

Having explored extensions of normal DLMs to incorporate parameter non-linearities, we now turn to a related area of models with non-normal components. The primary development here concerns data series with non-normal observational distributions. DLMs have been extended and generalised to various non-normal problems, the largest class being that based on the use of exponential family models 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).

Keywords

Exponential Family Advertising Campaign Predictive Density Evolution Error Forecast Density 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Copyright information

© Springer Science+Business Media New York 1989

Authors and Affiliations

  • Mike West
    • 1
  • Jeff Harrison
    • 2
  1. 1.Institute of Statistics and Decision SciencesDuke UniversityDurhamUSA
  2. 2.Department of StatisticsUniversity of WarwickCoventryUK

Personalised recommendations