Empirical Non-Parametric Estimation of the Fisher Information

Non–parametric volatility estimation

analysis of reading comprehension needs of the students of paramedical studies: the case of the students of health information management (him)

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2 Estimation and Fisher information : elementary considerations

Having explored the definitions associated with exponential families and their robustness properties, we now turn to a study of somewhat more general parameterized distributions, developing connections between divergence measures and other geometric ideas such as the Fisher information. After this, we illustrate a few consequences of Fisher information for optimal estimators, which gives a smal...

A Novel Algorithm for Image Thresholding Using non Parametric Fisher Information

The Fisher information (FI) measure is an important concept in statistical estimation theory and information theory. However, it has received relatively little consideration in image processing. In this paper, a novel algorithm is developed based on the nonparametric FI measure. The proposed algorithm determines the optimal threshold based on the FI measure by maximizing the measure of the sepa...

Non-parametric Estimation of Ultrasound Pulses Non-parametric Estimation of Ultrasound Pulses

An algorithm for non-parametric estimation of one-dimensional ul-trasound pulses in echo sequences from human tissues is derived. The technique is a variation of the homomorphic ltering technique using the real cepstrum, and the underlying basis of the method is explained. The algorithm exploits a priori knowledge about the structure of rf line echo data and can employ a number of adjacent rf l...