This book brings together a variety of non-Gaussian autoregressive-type models to analyze time-series data. This book collects and collates most of the availabl

The principal focus here is on autoregressive moving average models and analogous random fields, with probabilistic and statistical questions also being discuss

Statistical image processing; application of the gibbs distribution to image segmentation; A model for orginal filtering of digital images; Spatial domain filte