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Highly Cited

2008

Highly Cited

2008

I. Introduction: Basic concepts.- Getting started. II. Essentials: Linear innovations state space models.- Non-linear and…

Review

2005

Review

2005

and well organized. Two appendixes provided at the end of the text explain the installation of R and provide a quick tutorial on…

Highly Cited

2005

Highly Cited

2005

Doubly-indexed dynamical systems provide a state space realization of two-dimensional filters which includes previous state…

Highly Cited

2005

Highly Cited

2005

Remotely sensed tracking data collected on animal movement is vastly un- derutilized due to a lack of statistical tools for…

Highly Cited

2005

Highly Cited

2005

The particle filter offers a general numerical tool to approximate the posterior density function for the state in nonlinear and…

Highly Cited

2001

Highly Cited

2001

This excellent text provides a comprehensive treatment of the state space approach to time series analysis. The distinguishing…

Highly Cited

1996

Highly Cited

1996

Presenting advances in the theory and design of robust nonlinear control systems, this volume identifies two potential sources of…

Highly Cited

1989

Highly Cited

1989

The “stubborn set” theory and method for generating reduced state spaces is presented. The theory takes advantage of concurrency…

Highly Cited

1989

Highly Cited

1989

Many neural network learning procedures compute gradients of the errors on the output layer of units after they have settled to…

Review

1988

Review

1988

Simple state-space formulas are presented for a controller solving a standard H∞-problem. The controller has the same state…