Probability density functions for pentominoe recognition
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 than ...
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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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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
... density function (pdf), for any of these maps. It is well known (Boyarsky A, Gora P. Laws of chaos: invariant measures and dynamical systems in one dimension. Boston: Birkhauser, 1997), that when a sequence of ...
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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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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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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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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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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
... Figure 1b shows a positive enhancement between 13.7 and 16.1 km tangent altitudes, suggesting the presence of clouds. Scattering residual profiles were generated and used to create histograms of scattering residuals. In ...
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Multiscale Characterization of the Probability Density Functions of Velocity and Temperature Increment Fields.
... the probability of exceedance as a measuring stick, it became clear that the differences between each location and height were minor, but some deviations existed especially near the tails at ±10 standard ...
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Nonparametric estimation of probability density functions for irregularly observed spatial data
... KEY WORDS: Asymptotic normality; Expanding-domain infill asymptotics; Irregularly positioned spatial data; Marginal and joint prob- ability density functions; Non-Gaussian distribution; [r] ...
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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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A refined statistical cloud closure using double-Gaussian probability density functions
... Compared to relative humidity schemes, PDF-based schemes typically need more and higher moments as in- put parameters. While the first two moments are commonly available in numerical weather prediction (NWP) models and ...
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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
... The extension of refs. [17,18] solved a stochastic differential equation with a fourth-order stochastic Runga–Kutta method for Gaussian coloured noise in 1D and showed the transition from an unimodal stationary ...
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EMD-Based Filtering Using Similarity Measure Between Probability Density Functions of IMFs
... Abstract— This paper introduces a new signal-filtering, which combines the empirical mode decomposition (EMD) and a sim- ilarity measure. A noisy signal is adaptively broken down into oscillatory components called ...
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Implied risk-neutral probability density functions from option prices: theory and application
... RND functions may help to identify occasional situations where one or other of these assumptions does not hold, essentially because the story being told is not ...RND functions suggest that the market ...
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Exact and Approximate Weighted Model Integration with Probability Density Functions Using Knowledge Compilation
... All four plots clearly indicate that once Sampo has trans- formed a probabilistic program into an arithmetic circuit, the run time is not only lower but also that Sampo is more accu- rate than the competing algorithms. ...
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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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