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Springer Fundamentals of Stochastic Filtering - Science Text

Amazon

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Description

Many critical phenomena cannot be measured directly. This text from Springer provides a way to make reasonable inferences about the state of evolving systems using partial observations and stochastic models. Known as stochastic filtering, this process is essential for understanding systems that affect our daily lives. Designed for both graduate students and experienced scientists, this book offers a clear path to becoming familiar with the theory of stochastic filtering. It serves as a foundational resource for those studying stochastic modelling and applied probability, helping readers bridge the gap between limited observations and accurate system inferences.

Key Features

This Springer publication covers the essential theory of stochastic filtering for academic and professional use.

The text is part of the Stochastic Modelling and Applied Probability series, volume 60.

Designed for graduate students and experienced scientists seeking to understand evolving systems.

This used book is in good condition and ready for immediate study or research.

Focuses on making inferences about systems through partial observations and stochastic models.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
23 October 2008
Listed Since
03 December 2007

Barcode

No barcode data available

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