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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
Point Processes and Their Statistical Inference
Stochastic Geometry
Stochastic Geometry for Image Analysis
Semimartingales and their Statistical Inference
Probability and Statistical Models with Applications
Handbook of Stochastic Analysis and Applications
Inference and Asymptotics
Probability and Statistical Inference
Theory of Stochastic Objects
Essentials of Statistical Inference
Computer Vision
Stochastic Analysis and Applications
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