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The Fisher information matrix for linear systems

Systems & Control Letters, 2002
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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On Fisher’s Information Matrix of an ARMA Process

1997
In this paper we study the Fisher information matrix for a stationary ARMA process with the aid of Sylvester’s resultant matrix. Some properties are explained via realizations in state space form of the derivates of the white noise process with respect to the parameters.
Klein, A., Spreij, P.
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FISHER'S INFORMATION MATRIX FOR SEASONAL AUTOREGRESSIVE‐MOVING AVERAGE MODELS

Journal of Time Series Analysis, 1990
Abstract.Two procedures are described for obtaining Fisher's information matrix of a multiplicative seasonal autoregressive‐moving average process. They can be useful in determining the asymptotic covariance matrix of Gaussian maximum likelihood estimators of the parameters.
Klein, André, Melard, Guy
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Fisher information matrix for the Feller–Pareto distribution

Statistics & Probability Letters, 2002
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Observability analysis of SLAM using fisher information matrix

2008 10th International Conference on Control, Automation, Robotics and Vision, 2008
This paper presents a new technique for evaluating the observability of the simultaneous localization and mapping (SLAM) problem. The state vector of an estimation theoretic formulation of the SLAM problem is recast to include all robot poses from which the measurements are made.
Zhan Wang, Gamini Dissanayake
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Multivariate normal distributions, Fisher information and matrix inequalities

International Journal of Mathematical Education in Science and Technology, 2001
Using appropriately parameterized families of multivariate normal distributions and basic properties of the Fisher information matrix for normal random vectors, we provide statistical proofs of the monotonicity of the matrix function A -1 in the class of positive definite Hermitian matrices.
Abram Kagan, Paul J. Smith
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Multivariate extreme value distribution and its fisher information matrix

Acta Mathematicae Applicatae Sinica, 1995
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Efficient Monte Carlo computation of Fisher information matrix using prior information

Proceedings of the 2007 Workshop on Performance Metrics for Intelligent Systems, 2007
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Das, Sonjoy   +2 more
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Large N Matrix Models and Noncommutative Fisher Information

AIP Conference Proceedings, 2002
We interpret the action for 0+1‐dimensional large N matrix models in the context of noncommutative probability theory. The actions of both 0‐dimensional and 0+1‐dimensional matrix models contain universal terms, free entropy and free Fisher information respectively. Their minimization properties are essential for the solution of matrix models.
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Connections of generalized divergence measures with Fisher information matrix

Information Sciences, 1993
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Salicrú, M., Taneja, I. J.
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