State space models have gained tremendous popularity in recent years in as disparate fields as engineering, economics, genetics and ecology. After a detailed in
State space models have gained tremendous popularity in recent years in as disparate fields as engineering, economics, genetics and ecology. After a detailed in
In this book we are concerned with Bayesian learning and forecast ing in dynamic environments. We describe the structure and theory of classes of dynamic models
R is a language and environment for data analysis and graphics. It may be considered an implementation of S, an award-winning language initially - veloped at Be
An insightful approach to the analysis of variance in the study of linear models Linear Models explores the theory of linear models and the dynamic relationship