Multiscale Modeling: A Bayesian Perspective (Springer Series in Statistics)
暫譯: 多尺度建模：貝葉斯觀點（斯普林格統計系列）

This highly useful book contains methodology for the analysis of data that arise from multiscale processes. It brings together a number of recent developments and makes them accessible to a wider audience. Taking a Bayesian approach allows for full accounting of uncertainty, and also addresses the delicate issue of uncertainty at multiple scales. These methods can handle different amounts of prior knowledge at different scales, as often occurs in practice.