Results 21 to 30 of about 2,103,088 (288)
Quantile-Based Estimative VaR Forecast and Dependence Measure: A Simulation Approach
A Value-at-Risk (VaR) forecast may be calculated for the case of a random loss alone and/or of a random loss that depends on another random loss. In both cases, the VaR forecast is obtained by employing its (conditional) probability distribution of loss ...
Khreshna Syuhada +2 more
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Continuous dependence results for set-valued measure differential problems
We discuss existence and continuous dependence properties of solutions set of measure differential inclusions \begin{equation}\label{(1)} \begin{split} dx(t)& \in G(t, x(t)) d\mu(t),\\ x(0)& = x_0. \end{split} \end{equation} where $G \colon [0,1] \times \
Bianca Satco
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The nature of dependence between random variables has always been the subject of many statistical problems for over a century. Yet today, there is a great deal of research on this topic, especially focusing on the analysis of nonlinearity. Shannon mutual
Elif Tuna +4 more
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Thermal photons as a measure for the rapidity dependence of the temperature [PDF]
The rapidity distribution of thermal photons produced in Pb+Pb collisions at CERN-SPS energies is calculated within scaling and three-fluid hydrodynamics. It is shown that these scenarios lead to very different rapidity spectra.
A. Dumitru +42 more
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A Copula Entropy Approach to Dependence Measurement for Multiple Degradation Processes
Degradation analysis has been widely used in reliability modeling problems of complex systems. A system with complex structure and various functions may have multiple degradation features, and any of them may be a cause of product failure.
Fuqiang Sun +3 more
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Assessing numerical dependence in gene expression summaries with the jackknife expression difference. [PDF]
Statistical methods to test for differential expression traditionally assume that each gene's expression summaries are independent across arrays. When certain preprocessing methods are used to obtain those summaries, this assumption is not necessarily ...
John R Stevens, Gabriel Nicholas
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Introducing localgauss, an R Package for Estimating and Visualizing Local Gaussian Correlation
Quantifying non-linear dependence structures between two random variables is a challenging task. There exist several bona-fide dependence measures able to capture the strength of the non-linear association, but they typically give little information ...
Geir Drage Berentsen +2 more
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This study examined whether oil dependence affected democracy quality by referring to provincial-level data in Indonesia. While physical quantity production was used to measure oil dependence, democracy was measured based on the Indonesian Democracy ...
Rian Hilmawan
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Measurement dependent locality
New Journal of Physics ...
Pütz, Gilles, Gisin, Nicolas
openaire +5 more sources
Measure dependence of 2D simplicial quantum gravity
We study pure 2D Euclidean quantum gravity with $R^2$ interaction on spherical lattices, employing Regge's formulation. We attempt to measure the string susceptibility exponent $\gamma_{\rm str}$ by using a finite-size scaling Ansatz in the expectation ...
Bock +12 more
core +1 more source

