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New Notions on Neutrosophic Random Variables [PDF]
Neutrosophic Sets and Systems, 2021 In this paper, new general definitions of neutrosophic random variables are introduced and their properties are studied. Notions of neutrosophic random vector, joint probability function, joint distribution function, neutrosophic random vector expected ...
Carlos Granados
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Fast Multi-view Privileged Random Vector Function Link Network [PDF]
Jisuanji kexue yu tansuo, 2022 In reality, feature data are usually obtained from different ways or levels for the same object, and the data obtained are called multi-view data. It is of research value to mine and utilize multi-view data and shows some advan-tages over traditional ...
WU Tianyu, WANG Shitong
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The Leader Property in Quasi Unidimensional Cases
Mathematics, 2022 The following problem was studied: let Zjj≥1 be a sequence of i.i.d. d-dimensional random vectors. Let F be their probability distribution and for every n≥1 consider the sample Sn={Z1,Z2,…,Zn}.
Anișoara Maria Răducan +1 more
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Mathematics, 2023 In this article, we derive a closed-form expression for computing the probabilities of p-dimensional rectangles by means of a multivariate skew-normal distribution.
Raúl Alejandro Morán-Vásquez +2 more
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Axiomatic Foundations of Anisotropy-Based and Spectral Entropy Analysis: A Comparative Study
Mathematics, 2023 An axiomatic development of control systems theory can systematize important concepts. The current research article is dedicated to the investigation and comparison of two axiomatic approaches to the analysis of discrete linear time-invariant systems ...
Victor A. Boichenko +2 more
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A Generative Model for Correlated Graph Signals
Mathematics, 2021 A graph signal is a random vector with a partially known statistical description. The observations are usually sufficient to determine marginal distributions of graph node variables and their pairwise correlations representing the graph edges.
Pavel Loskot
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On the Probability of Finding Extremes in a Random Set
Mathematics, 2022 We consider a sequence Zjj≥1 of i.i.d. d-dimensional random vectors and for every n≥1 consider the sample Sn={Z1,Z2,…,Zn}. We say that Zj is a “leader” in the sample Sn if Zj≥Zk,∀k∈{1,2,…,n}and Zj is an “anti-leader” if Zj≤Zk,∀k∈{1,2,…,n}. After all, the
Anișoara Maria Răducan +3 more
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Conditions for the Existence of Absolutely Optimal Portfolios
Mathematics, 2021 Let Δn be the n-dimensional simplex, ξ = (ξ1, ξ2,…, ξn) be an n-dimensional random vector, and U be a set of utility functions. A vector x*∈ Δn is a U -absolutely optimal portfolio if EuξTx*≥EuξTx for every x∈ Δn and u ∈ U.
Marius Rădulescu +2 more
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Stochastic Order for a Multivariate Uniform Distributions Family
Mathematics, 2020 In this article we give sufficient conditions for stochastic order of multivariate uniform distributions on closed convex sets.
Luigi-Ionut Catana, Anisoara Raducan
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FLOOD RISK MAPPING USING RANDOM FOREST AND SUPPORT VECTOR MACHINE [PDF]
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2023 Floods are among the natural disasters that cause financial and human losses all over the world every year. By production of a flood risk map and determination of potential flood risk areas, the possible damages of this phenomenon can be reduced.
M. Ganjirad, M. R. Delavar
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