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Statistical Inference In Stochastic Processes



This is a collection of papers on statistical inference in stochastic processes. The papers cover both theory and applications, and discuss the role of probabilistic models and statistical techniques in image analysis and processing. The papers also develop likelihood methods for inference about parameters that determine the drift and the jump mechanism of a di more details
Key Features:
  • Statistical inference in stochastic processes
  • Image analysis and processing
  • L likelihood methods


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Description
This is a collection of papers on statistical inference in stochastic processes. The papers cover both theory and applications, and discuss the role of probabilistic models and statistical techniques in image analysis and processing. The papers also develop 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
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