Results 41 to 50 of about 795,540 (289)
Estimating Fisher information in normal population with prior information
This paper is contemplated to propose a class of shrunken estimators which is further used in constructing a class of preliminary test estimators for amount of information in complete samples from normal population when some ‘apriori’ or guessed value of
Housila P. Singh, Sharad Saxena
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A D-Optimal Sequential Calibration Design for Computer Models
The problem with computer model calibration by tuning the parameters associated with computer models is significant in many engineering and scientific applications.
Huaimin Diao, Yan Wang, Dianpeng Wang
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INTRODUCTION TO QUANTUM FISHER INFORMATION [PDF]
The subject of this paper is a mathematical transition from the Fisher information of classical statistics to the matrix formalism of quantum theory. If the monotonicity is the main requirement, then there are several quantum versions parametrized by a function. In physical applications the minimal is the most popular.
Petz, Denes, Ghinea, Catalin
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Python version of the Fisher information code available at: https://github.com/csunlab/fisher-information.git Ahmad, N., Derrible, S., Eason, T., Cabezas, H., (2016) Using Fisher information to track stability in multivariate systems, Royal Society ...
Sybil Derrible +7 more
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Maximal quantum Fisher information matrix
We study the existence of the maximal quantum Fisher information matrix in the multi-parameter quantum estimation, which bounds the ultimate precision limit.
Yu Chen, Haidong Yuan
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On critical dynamics and thermodynamic efficiency of urban transformations [PDF]
Urban transformations within large and growing metropolitan areas often generate critical dynamics affecting social interactions, transport connectivity and income flow distribution.
Emanuele Crosato +2 more
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Fisher information approach to understand the Gompertz model
As a measure of sustainability, Fisher information is employed in the Gompertz growth model. The effect of different oscillatory modulations is examined on the system's evolution and Probability Density Function (PDF).
Avan Al-Saffar, Eun-jin Kim
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Multiscale Gradient Maps Augmented Fisher Information-Based Image Edge Detection
Image edge detection is an important task in image processing and pattern recognition. Edges in digital images signify image discontinuities and traditionally gradient information is utilized in finding possible edge pixels.
V. B. Surya Prasath +3 more
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Fisher Information With Respect to Cumulants [PDF]
Fisher information is a measure of the best precision with which a parameter can be estimated from statistical data. It can also be defined for a continuous random variable without reference to any parameters, in which case it has a physically compelling interpretation of representing the highest precision with which the first cumulant of the random ...
S. Prasad, Nicolas C. Menicucci
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Detection of image structures using the Fisher information and the Rao metric
In many detection problems, the structures to be detected are parameterized by the points of a parameter space. If the conditional probability density function for the measurements is known, then detection can be achieved by sampling the parameter space ...
Maybank, Stephen J., S.J. Maybank
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