Results 11 to 20 of about 4,521,299 (288)
Mathematics, 2022 The high accuracy attainment, using less complex architectures of neural networks, remains one of the most important problems in machine learning. In many studies, increasing the quality of recognition and prediction is obtained by extending neural ...
Ruslan Abdulkadirov +2 more
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Some recent advances in random walks and random environments* [PDF]
ESAIM: Proceedings and Surveys, 2023 Recent contributions to random walks in random environments and related topics are presented. We focus on non parametric estimation for one dimensional random walks in random environment and on the Dirichlet distribution on decomposable graphs.
Devulder Alexis +2 more
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Decay Branch Ratio Sampling Method with Dirichlet Distribution
Energies, 2023 The decay branch ratio is evaluated nuclear data related to the decay heat calculation in reactor safety analysis. Decay branch ratio data are inherently subjected to the “sum-to-one” constraint, making it difficult to generate perturbed samples while ...
Yizhen Wang +5 more
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STATISTICAL MODEL OF AERODYNAMIC IMPACT ON THE LARGE-SPAN COVERAGE
International Journal for Computational Civil and Structural Engineering, 2023 The aim of the study was to study the possibility of using the Dirichlet distribution as a statistical model of the process of dynamic interaction of large-span structures with aerodynamic load. As an object of research, a model of a hangar building was
Vladimir Erofeev +5 more
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On Johnson’s “Sufficientness” Postulates for Feature-Sampling Models
Mathematics, 2021 In the 1920s, the English philosopher W.E. Johnson introduced a characterization of the symmetric Dirichlet prior distribution in terms of its predictive distribution. This is typically referred to as Johnson’s “sufficientness” postulate, and it has been
Federico Camerlenghi, Stefano Favaro
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Distribution of Dirichlet L‐functions
Mathematika, 2023 AbstractIn this article, we study the distribution of values of Dirichlet L‐functions, the distribution of values of the random models for Dirichlet L‐functions, and the discrepancy between these two kinds of distributions. For each question, we consider the cases of and separately.
Dong, Zikang, Wang, Weijia, Zhang, Hao
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A generalization of the Dirichlet distribution
Journal of Multivariate Analysis, 2013 A new parametric family of distributions on the unit simplex is proposed and investigated. Such family, called flexible Dirichlet, is obtained by normalizing a correlated basis formed by a mixture of independent gamma random variables. The Dirichlet distribution is included as an inner point. The flexible Dirichlet is shown to exhibit a rich dependence
ONGARO, ANDREA, MIGLIORATI, SONIA
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Sensors, 2018 Today IoT integrate thousands of inter networks and sensing devices e.g., vehicular networks, which are considered to be challenging due to its high speed and network dynamics.
Muhammad Sohail, Liangmin Wang
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A characterization of Dirichlet distributions
Journal of Multivariate Analysis, 1988 \textit{J. N. Darroch} and \textit{D. Ratcliff} [J. Am. Stat. Assoc. 66, 641- 643 (1971; Zbl 0228.62009)] have given a characterization of the Dirichlet distributions based on the properties of independence of various functions of the random variables \((X_ 1,X_ 2,...,X_ k)\) having a joint continuous distribution over the k-dimensional simplex: \(0 ...
Rao, B.V, Sinha, Bikas K
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Modeling the Dirichlet distribution using multiplicative functions
Nonlinear Analysis, 2020 For q,m,n,d ∈ N and some multiplicative function f > 0, we denote by T3(n) the sum of f(d) over the ordered triples (q,m,d) with qmd = n. We prove that Cesaro mean of distribution functions defined by means of T3 uniformly converges to the one-parameter ...
Gintautas Bareikis, Algirdas Mačiulis
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