INTERACTIVE VISUALIZATION OF PROBABILITY AND CUMULATIVE DENSITY FUNCTIONS
نویسندگان
چکیده
منابع مشابه
Interactive Visualization of Probability and Cumulative Density Functions.
The probability density function (PDF), and its corresponding cumulative density function (CDF), provide direct statistical insight into the characterization of a random process or field. Typically displayed as a histogram, one can infer probabilities of the occurrence of particular events. When examining a field over some two-dimensional domain in which at each point a PDF of the function valu...
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Introduction: Probability density function (PDF) estimation is a very important issue in several interesting areas, such as blind signal processing and adaptive data processing. The estimation of the PDF or the cumulative density function (CDF) through use of an easy and fast method becomes a very important task. Several approaches exist [1] such as maximum likelihood estimation, kernel estimat...
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The aim of this reported work is to extend a recent, simple and effective algorithm for the estimation of the probability density function and cumulative density function to the case of bidimensional random vectors. The algorithm is based on an information maximisation approach. The nonlinear bidimensional function involved in the algorithm is adaptively modified during learning and is implemen...
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An algorithm is described to efficiently compute the cumulative distribution and probability density functions of the diffusion process (Ratcliff, 1978) with trial-to-trial variability in mean drift rate, starting point, and residual reaction time. Some, but not all, of the integrals appearing in the model's equations have closed-form solutions, and thus we can avoid computationally expensive n...
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We present an interactive visualization technique for spatial probability density function data. These are datasets that represent a spatial collection of random variables, and contain a number of possible outcomes for each random variable. It is impractical to visualize all the information at each spatial location as it will quickly lead to a cluttered image. We advocate the use of hierarchica...
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ژورنال
عنوان ژورنال: International Journal for Uncertainty Quantification
سال: 2012
ISSN: 2152-5080
DOI: 10.1615/int.j.uncertaintyquantification.2012004074