PCF is a MATLAB module for paper A new possibilistic-based clustering method for probability density functions and its application to detecting abnormal elements. The project was started in 2023 by ...
In many experimental observation systems where the goal is to record a three-dimensional observation of an object, or a set of objects, a lower-dimensional projection of the intended subject is ...
Nonparametric methods provide a flexible framework for estimating the probability density function of random variables without imposing a strict parametric model. By relying directly on observed data, ...
Calculation of the Posterior Question: Let us numerically calculate the posterior (1). Suppose the stimulus distribution p(s) is Gaussian with a mean of 20 and a standard deviation of 4. The ...
Abstract: The normal distribution model has strong application in mathematical and statistical research. In communication system, each electron component has a safety score, aiming to measure the its ...
Abstract: Non-linear filters consider probability density functions in various non-parametric representations. They often suffer from the curse of dimensionality. Computation of weights over a grid of ...
Density functions are nonnegative for all real numbers but greater than zero only at a finite or countably infinite number of points. Density functions are nonnegative for all real numbers and are ...
Advances in Applied Probability, Vol. 19, No. 3 (Sep., 1987), pp. 632-651 (20 pages) We consider a class of functions on [0,∞), denoted by Ω , having Laplace transforms with only negative zeros and ...
Of interest is the spectral character of wind turbine noise at typical residential set-back distances. In this paper, a spectral statistical analysis has been applied to immission measurements ...
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