Results 21 to 30 of about 3,753,934 (302)
Measurable Sensitivity for Semi-Flows
Mathematics, 2023 Sensitive dependence on initial conditions is a crucial characteristic of chaos. The concept of measurable sensitivity (MS) was introduced as a measure-theoretic version of sensitive dependence on initial conditions.
Weizhen Quan +5 more
doaj +1 more source
Quantile-Based Estimative VaR Forecast and Dependence Measure: A Simulation Approach
Journal of Applied Mathematics, 2020 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
doaj +1 more source
Dependence measure for length-biased survival data using copulas
Dependence Modeling, 2019 The linear correlation coefficient of Bravais-Pearson is considered a powerful indicator when the dependency relationship is linear and the error variate is normally distributed.
Bentoumi Rachid +2 more
doaj +1 more source
Continuous dependence results for set-valued measure differential problems
Electronic Journal of Qualitative Theory of Differential Equations, 2015 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
doaj +1 more source
A Copula Entropy Approach to Dependence Measurement for Multiple Degradation Processes
Entropy, 2019 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
doaj +1 more source
Entropy, 2022 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
doaj +1 more source
Introducing localgauss, an R Package for Estimating and Visualizing Local Gaussian Correlation
Journal of Statistical Software, 2014 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
doaj +1 more source
Assessing numerical dependence in gene expression summaries with the jackknife expression difference. [PDF]
PLoS ONE, 2012 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
doaj +1 more source
Jurnal Ekonomi & Studi Pembangunan, 2021 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
doaj +1 more source
Measuring dependence powerfully and equitably
CoRR, 2015 YAR and DNR are co-first authors, PCS and MMM are co-last authors. This paper, together with arXiv:1505.02212, subsumes arXiv:1408.4908. v3 includes new analyses and exposition. v4 is identical to v3 except for this comment. An error was found in the argument showing the consistency of the MIC estimator; see arXiv:2107.03836 for discussion and a ...
Yakir A. Reshef +4 more
openaire +3 more sources