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Probability density functions (PDFs)

Audio Query by Example Using Similarity Measures between Probability Density Functions of Features

Audio Query by Example Using Similarity Measures between Probability Density Functions of Features

... This paper proposes a query by example system for generic audio. Section 2 gives an overview of the system and previous similarity measures. We observe that the similarity of audio signals can be measured by the di ff ...

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Statistical analysis of probability density functions for photometric redshifts through the KiDS-ESO-DR3 galaxies

Statistical analysis of probability density functions for photometric redshifts through the KiDS-ESO-DR3 galaxies

... Despite the high accuracy of photometric redshifts (zphot) derived using Machine Learning (ML) methods, the quantification of errors through reliable and accurate Probability Density Functions (PDFs) ...

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Time-Dependent Probability Density Functions and Attractor Structure in Self-Organised Shear Flows

Time-Dependent Probability Density Functions and Attractor Structure in Self-Organised Shear Flows

... 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 memory time of a stochastic forcing, manifested by the ...

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Time-Dependent Probability Density Functions and Attractor Structure in Self-Organised Shear Flows

Time-Dependent Probability Density Functions and Attractor Structure in Self-Organised Shear Flows

... 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 memory time of a stochastic forcing, manifested by the ...

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Exact and Approximate Weighted Model Integration with Probability Density Functions Using Knowledge Compilation

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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Reconstruction of one-dimensional chaotic maps from sequences of probability density functions

Reconstruction of one-dimensional chaotic maps from sequences of probability density functions

... Abstract In many practical situations, it is impos- sible to measure the individual trajectories generated by an unknown chaotic system, but we can observe the evolution of probability density ...

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Cloud discrimination in probability density functions of limb-scattered sunlight measurements

Cloud discrimination in probability density functions of limb-scattered sunlight measurements

... clouds. Probability density functions of scattering residuals show the distribution is not a continuum measurement; there is a distinction between the cloudy and cloud-free ...

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A refined statistical cloud closure using double-Gaussian probability density functions

A refined statistical cloud closure using double-Gaussian probability density functions

... a probability density function (PDF)-based scheme to parameterize cloud fraction, average liquid water and liquid water flux in large-scale models, that is developed from and tested against large-eddy ...

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Nonparametric Estimation of Probability Density Functions of Random Persistence Diagrams

Nonparametric Estimation of Probability Density Functions of Random Persistence Diagrams

... of density must be (i) invariant to the ordering of features and (ii) account for variability in their ...creating probability densities. In this work, we offer a kernel density with the desirable ...

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A stochastic approach for the description of the water balance dynamics in a river basin

A stochastic approach for the description of the water balance dynamics in a river basin

... two probability density functions of the rela- tive saturation and the relative portion of the saturated areas of the basin are compared with the PDFs obtained via nu- merical ...

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A joint calibration model for combining predictive distributions

A joint calibration model for combining predictive distributions

... In this framework, we propose the use of a Bayesian approach to information combining, which consists in treating the predictive probability density functions (pdfs) from the individual ensemble ...

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Some Inequalities for Random Variables whose Probability Density Functions are Bounded using a Pre-Grüss Inequality

Some Inequalities for Random Variables whose Probability Density Functions are Bounded using a Pre-Grüss Inequality

... 3. Some Inequalities for the Cumulative Distribution Function The following theorem contains an inequality which connects the expectation E (X ) , the cumulative distributive function F (X) := R a x f (t) dt and the ...

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THE UNCERTAINTY ABOUT THE TOTAL ECONOMIC IMPACT OF CLIMATE CHANGE  ESRI WP382  April 2011

THE UNCERTAINTY ABOUT THE TOTAL ECONOMIC IMPACT OF CLIMATE CHANGE ESRI WP382 April 2011

... In this paper, I survey the estimates of the total economic impacts of climate change. While climate change is initially positive, incremental impacts are negative for any warming that can be avoided. Climate change is ...

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Nonparametric estimating equations for circular probability density functions and their derivatives

Nonparametric estimating equations for circular probability density functions and their derivatives

... circular density estimation (and its derivatives) where local versions of population trigonometric moments are equated with their empirical ...unknown density by a periodic series expansion whose coefficients ...

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Probabilistic Precipitation Hazard Assessment Including Two-dimensional Flood Routing Analysis

Probabilistic Precipitation Hazard Assessment Including Two-dimensional Flood Routing Analysis

... ! Uncertainty in the Choice of Probability Density Function Types: There are many types of probability density functions (e.g., Generalized Extreme Value or Lognormal) that are ...

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Assessment of Incineration Process Performance in a District Hospital Using Statistical Analysis

Assessment of Incineration Process Performance in a District Hospital Using Statistical Analysis

... The analysis of the probability density functions of the normalized incinerator performance data indicated that, the high frequency distribution for Ow was observed at Xn = 0.5 and 0.8 w[r] ...

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Determination of Maximum Bayesian Entropy Probability Distribution

Determination of Maximum Bayesian Entropy Probability Distribution

... bivariate probability distributions (MEBPD) via Shannon’s measure of entropy, when the marginal probability density functions (pdf) are prescribed and it was extended for the maximum entropy ...

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Scaling collapse and structure functions: identifying self affinity in finite length time series

Scaling collapse and structure functions: identifying self affinity in finite length time series

... the Probability Density Functions which should then be well described by the solution of the corresponding Fokker-Planck equation and ii) using structure functions to determine the scaling ...

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The effects of parametrization on inverse problems

The effects of parametrization on inverse problems

... different probability density functions for each of the ...actual probability density functions, we can approximate them under asymptotic theory [1] and we can simulate the ...

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