Results 11 to 20 of about 123,391 (326)
On Joint Distribution of General Dirichlet Series
In the paper a joint limit theorem in the sense of the weak convergence in the space of meromorphic functions for general Dirichlet series is proved under weaker conditions as in [1].
J. Genys, A. Laurinčikas
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A Generalization of the Dirichlet Distribution [PDF]
This paper discusses a generalization of the Dirichlet distribution, the ‘hyperdirichlet’, in which various types of incomplete observations may be incorporated.
Robin K. S. Hankin
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A stochastic diffusion process for the Dirichlet distribution
The method of potential solutions of Fokker-Planck equations is used to develop a transport equation for the joint probability of N coupled stochastic variables with the Dirichlet distribution as its asymptotic solution. To ensure a bounded sample space,
Bakosi, J., Ristorcelli, J. R.
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Hyperprior on symmetric Dirichlet distribution [PDF]
In this article we introduce how to put vague hyperprior on Dirichlet distribution, and we update the parameter of it by adaptive rejection sampling (ARS). Finally we analyze this hyperprior in an over-fitted mixture model by some synthetic experiments.
Jun Lu
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Large deviations for Dirichlet processes and Poisson-Dirichlet distributions with two parameters [PDF]
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Shui Feng
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A Fractional Generalization of the Dirichlet Distribution and Related Distributions [PDF]
This paper is devoted to a fractional generalization of the Dirichlet distribution. The form of the multivariate distribution is derived assuming that the $n$ partitions of the interval $[0,W_n]$ are independent and identically distributed random variables following the generalized Mittag-Leffler distribution. The expected value and variance of the one-
Elvira Di Nardo +2 more
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A conjugate prior for the Dirichlet distribution [PDF]
This note investigates a conjugate class for the Dirichlet distribution class in the exponential family.
Jean‐Marc Andreoli
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Decay Branch Ratio Sampling Method with Dirichlet Distribution
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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On Johnson’s “Sufficientness” Postulates for Feature-Sampling Models
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
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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