A Kalman Filter Primer

A Kalman Filter Primer

Randall L. Eubank

120,83 €
IVA incluido
Disponible
Editorial:
Taylor & Francis Ltd
Año de edición:
2019
Materia
Probabilidad y estadística
ISBN:
9780367391690
120,83 €
IVA incluido
Disponible

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This text provides a self-contained, "no frills," mathematically rigorous derivation from first principles of all basic Kalman filter recursions. This approach relies on a pared-down version of more general state-space models found most often in the literature. Such simplification saves notational complexity without sacrificing conceptual understanding. The rigor found in the book ensures a fundamental understanding of how the Kalman filter actually works, which builds confidence for those employing the filter in their research and writing code to implement it in practice. The author provides implementations of the Kalman filter in Java available for download from his Web site.

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  • A Kalman Filter Primer
    Randall L. Eubank
    This text provides a self-contained, "no frills," mathematically rigorous derivation from first principles of all basic Kalman filter recursions. This approach relies on a pared-down version of more general state-space models found most often in the literature. Such simplification saves notational complexity without sacrificing conceptual understanding. The rigor found in the b...
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    Randall L. Eubank
    Provides a unified account of the most popular approaches to nonparametric regression smoothing. This edition contains discussions of boundary corrections for trigonometric series estimators; detailed asymptotics for polynomial regression; testing goodness-of-fit; estimation in partially linear models; practical aspects, problems and methods for confidence intervals and bands; ...