Statistical Inference in Stochastic Processes - 9780367403072

CRC Press

Covering both theory and applications, this collection of eleven contributed papers surveys the role of probabilistic models and statistical techniques in image analysis and processing, develops likelihood methods for inference about parameters that determine the drift and the jump mechanism of a di > Covering both theory and applications, this collection of eleven contributed papers surveys the role of probabilistic models and statistical techniques in image analysis and processing, develops likelihood methods for inference about parameters that determine the drift and the jump mechanism of a di > Preface -- 1 Statistical Models and Methods in Image Analysis: A Survey /Alan F. Karr -- 2 Edge-Preserving Smoothing and the Assessment of Point Process Models for GATE Rainfall Fields /Colin R. Goodall and Michael J. Phelan -- 3 Likelihood Methods for Diffusions with Jumps /Michael SVJrensen -- 4 Efficient Estimating Equations for Nonparametric Filtered Models /P. E. Greenwood and W.