Multifractal Analysis with the Probability Density Func-
Rank-Ordered Multifractal Analysis (ROMA) of probability distributions in fluid turbulence
... 3 ROMA analysis of the JHU turbulence flow In this section, we apply the ROMA analysis to the PDFs ob- tained in Sect. 2 for the turbulent flows in the JHU database. We start with a summary of the idea of ...
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Transience and multifractal analysis
... study multifractal spectra of quotients of Birkhoff averages when the map is modelled by a topologically mixing countable Markov shift with no additional assumptions ...
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Wavelet Analysis Based Estimation of Probability Density function of Wind Data
... Analysed Density Function of Wind Speed Data 5. Conclusions Wavelet analysis based technique has been explored for estimating the probability density function of the wind data set of small ...
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A note on the convergence analysis of a sparse grid multivariate probability density estimator
... multivariate probability density ...convergence analysis of a sparse grid based probability density estimation, which supports the use of the method for moderately complex (up to 15 ...
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ESTIMATING AND INTERPRETING PROBABILITY DENSITY FUNCTIONS
... For certain markets, there are very few (if any) options trading with strike prices in the region of greatest economic or policy interest. When this occurs, the PDF in these regions of analysis become more art ...
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Multifractal Analysis of Histopathological Tissue Images
... as density, size, colour and ...exhibit multifractal characteristics. This paper looks at the multifractal properties of several graded biopsy specimens and analyses the dependency and variation of ...
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Regularity of functions: Genericity and multifractal analysis
... leaders density is that it is not a robust ...leaders density which will turn out to be robust and which still yields an upper bound for the multifractal ...
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Low Complexity Algorithm for Probability Density Estimation Applied in Big Data Analysis
... for probability density estimation given partial ...the probability density ...achieve density estimation algorithms goal with low ...
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Seismic Hazard Analysis based on the Joing Probability Density Function of PGA and PGV
... high probability are not affected, since seismic hazard with high probability is dominated by the small earthquakes which possess large correlation coefficient between PGA and ...
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Kernel Density Smoothing Using Probability Density Functions and Orthogonal Polynomials
... quick analysis of this table provides a preliminary insight concerning the distribution of data and the effect of non-stationarity on the ...the density, we can notice that the index values are left-skewed ...
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Box-Particle Probability Hypothesis Density Filtering
... WOLFGANG KOCH, Fellow, IEEE Fraunhofer FKIE Germany This paper develops a novel approach for multitarget tracking, called box-particle probability hypothesis density filter (box-PHD filter). The approach is ...
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Improving the Accuracy of the Probability Density Function Estimation
... of density estimate and mean integrated squared errors analysis To estimate the probability density function, researchers use a variety of approaches includ- ing kernel assessment, histogram, ...
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A generalized beta function and associated probability density
... the func- tion defined by ...new probability density function (pdf) involving the generalized beta function in Section ...this density func- tion, namely, the k th moment, moment ...
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Conditional density estimation with class probability estimators
... conditional density estima- tion using class probability ...Conditional density estimation makes it possible to quantify and visualize the uncertainty associated with the prediction of a continuous ...
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Probability density of the wavelet coefficients of a noisy chaos
... the probability density In the approximation of the noise influence in Theorem 2, we limit our analysis to a local impact of the ...our analysis by achieving a second order Taylor expansion, ...
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Box-Particle Probability Hypothesis Density Filtering
... box-particle probability hypothesis density filter (box-PHD ...comparative analysis with a standard sequential Monte Carlo (SMC) version of the PHD ...
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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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A Herschel-SPIRE survey of the Mon R2 giant molecular cloud: analysis of the gas column density probability density function
... column density histogram, or column density probability distribution function (N-PDF), is lognormal below ∼10 21 cm − 2 ...column density cut-off, as a greater dense gas mass fraction is ...
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Attributing a probability to the shape of a probability density
... a density estimator is not a good approximation to the actual distribution of the ...the density estimator is oversmoothed, but the problem of selecting the extent of oversmoothing is inherently ...unknown ...
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ARF : a multifractal analysis
... 4.3 Effect of bounded cascade modeling and sparse sampling on the ARF In Chapter 3 we investigated the scaling properties of the ARF with the maximum linear size of the re[r] ...
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