Description

Book Synopsis

Preface.- I. Preliminary knowledge.- 1. Probability theory.- 2. Stochastic processes.- 3. Stochastic differential equations.- 4. Optimization.- II. Filtering theory.- 5. The filtering equations.- 6. Estimation algebra.-  III. Numerical algorithms.- 7.  Yau-Yau algorithm.- 8. Direct methods.- 9. Classical filtering methods.- 10. Estimation algorithms based on deep learning.

Principles of Nonlinear Filtering Theory

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    A Hardback by Stephen S.-T. Yau

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      View other formats and editions of Principles of Nonlinear Filtering Theory by Stephen S.-T. Yau

      Publisher: Springer
      Publication Date: 12/18/2024
      ISBN13: 9783031776830, 978-3031776830
      ISBN10: 3031776836

      Description

      Book Synopsis

      Preface.- I. Preliminary knowledge.- 1. Probability theory.- 2. Stochastic processes.- 3. Stochastic differential equations.- 4. Optimization.- II. Filtering theory.- 5. The filtering equations.- 6. Estimation algebra.-  III. Numerical algorithms.- 7.  Yau-Yau algorithm.- 8. Direct methods.- 9. Classical filtering methods.- 10. Estimation algorithms based on deep learning.

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