Probability density functions
Nonparametric forecasting of multivariate probability density functions
... multivariate probability density ...of probability density functions to the space of integrable functions through an isometry, perform the analysis in this space (which has nicer ...
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Kernel Density Smoothing Using Probability Density Functions and Orthogonal Polynomials
... kernel density smoothing, our approach revolves around introducing and testing the goodness of fit of some non-classical kernels based on probability density functions and orthogonal ...
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Probability density functions of some skew tent maps
... For the two-parameter family of skew tent maps, we have shown that there is a dense set of parameters in the chaotic region for which the maps are Markov and we exactly ®nd the pdf for any of these maps. It is known, ...
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Joint probability density functions of random trajectories through a box
... Interpretation also depends upon the particular type of randomness that governs a trajectory, and indeed a valid representation of a specific physical behavior requires that the criteria for randomness be accurately ...
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Cloud discrimination in probability density functions of limb-scattered sunlight measurements
... in probability density functions latitudinal band, the PDF is integrated from the threshold po- sition over the cloudy ...the probability density surface for scans in the Northern ...
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Multiscale Characterization of the Probability Density Functions of Velocity and Temperature Increment Fields.
... the probability density functions of velocity and temperature increments, δu and δT , respectively, this work investigates their multiscale behavior to uncover the unique traits that have yet to be ...
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Reconstruction of one-dimensional chaotic maps from sequences of probability density functions
... Xiaokai Nie · Daniel Coca Received: 29 August 2014 / Accepted: 30 January 2015 / Published online: 20 February 2015 © The Author(s) 2015. This article is published with open access at Springerlink.com Abstract In many ...
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Exact and Approximate Weighted Model Integration with Probability Density Functions Using Knowledge Compilation
... In the initial work on weighted model integration (Belle, Passerini, and Van den Broeck 2015) the authors perform weighted model integration on piecewise polynomials by it- eratively generating models by adding the ...
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One-dimensional stable probability density functions for rational index 0<α≤2
... generating probability density function. Knowing this elementary probability density function and bearing in mind the infinitely divisible property we can reconstruct the corresponding stable ...
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Time-Dependent Probability Density Functions and Attractor Structure in Self-Organised Shear Flows
... Abstract: We report the time-evolution of Probability Density Functions (PDFs) in a toy model of self-organised shear flows, where the formation of shear flows is induced by a finite mem[r] ...
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Audio Query by Example Using Similarity Measures between Probability Density Functions of Features
... the probability density functions (pdfs) of their frame-wise acoustic ...between probability density functions is an accurate measure for ...
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Mixture of Uniform Probability Density Functions for non Linear State Estimation using Interval Analysis
... 60205 Compi`egne Cedex, France [email protected] Abstract – In this work, a novel approach to non- linear non-Gaussian state estimation problems is pre- sented based on mixtures of uniform distributions with box ...
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Profile Monitoring of Probability Density Functions via Simplicial Functional PCA with application to Image Data
... high density point clouds into linear profiles through the use of Q-Q plots, and then applying traditional profile monitoring to check the stability of Q-Q plot ...of probability density ...
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Recovering Risk-Neutral Probability Density Functions from Options Prices using Cubic Splines
... probability density functions are depicted in Figure 1 (left) for both prob- lems. In our formulations, the Hessian matrix is known to be positive semi- definite. However, it is also highly ...
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Improving AoA Localization Accuracy in Wireless Acoustic Sensor Networks with Angular Probability Density Functions.
... Received: 31 December 2018; Accepted: 16 February 2019; Published: 21 February 2019 Abstract: Advances in energy efficient electronic components create new opportunities for wireless acoustic sensor networks. Such ...
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ESTIMATING AND INTERPRETING PROBABILITY DENSITY FUNCTIONS
... From a research point of view, however, it is impossible to disentangle the contribution of statistical probability and the contribution of relative marginal utility of different states. In the absence of a ...
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Gaussian Probability Density Functions: Properties and Error Characterization
... This problem can be stated the other way around. In the case where we specify a fixed probability value, the question is the value of K that yields an ellipsoid satisfying that probability. To answer the ...
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Estimation and regularization of probability density functions in image processing
... use probability theory, we specify on some topics, so let us focus on more concrete examples which are also important for the ...underlying probability density distribution which is added to an image ...
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Chapter 4 - Lecture 1 Probability Density Functions and Cumul. Distribution Functions
... I If in a Friday quiz we denote with X the time that the first student will finish and X follows a uniform distribution in the interval 5 to 15 minutes. I Find the cumulative distributio[r] ...
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Physical interpretation of probability density functions of bubble-induced agitation
... the probability density function ...the probability functions depend only on a single contribution, these two parameters can be uniquely and independently determined from experimental ...
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