Dirichlet process mixture models for the analysis of repeated attempt designs. [PDF]
Biometrics, 2023 Daniels MJ, Lee M, Feng W.
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Brief von Rebecka Lejeune Dirichlet und Flora Lejeune Dirichlet an Walter Arnold Abraham Dirichlet
BRIEF VON REBECKA LEJEUNE DIRICHLET UND FLORA LEJEUNE DIRICHLET AN WALTER ARNOLD ABRAHAM DIRICHLET Brief von Rebecka Lejeune Dirichlet und Flora Lejeune Dirichlet an Walter Arnold Abraham Dirichlet ( -
Dirichlet, Walter Arnold Abraham +2 more
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mSigHdp: hierarchical Dirichlet process mixture modeling for mutational signature discovery. [PDF]
NAR Genom Bioinform, 2023 Liu M, Wu Y, Jiang N, Boot A, Rozen SG.
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Image offset density distribution model and recognition of hand knuckle
EURASIP Journal on Image and Video Processing, 2019 The accurate description of hand posture plays an important role in the man-machine interaction involved in coordinated assembly. Knuckle image extraction and recognition are of great significance to refine and enrich hand-pose information.
Shiqiang Yang, Luqi Gong, Dan Qiao
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Dirichlet, Dirichlet Process, and Poisson–Dirichlet as Graphons
We show that the finite Dirichlet distribution, the Dirichlet process, and the Poisson–Dirichlet distribution correspond, under the functor \(F\), to three natural classes of block graphons. This correspondence yields a unified framework linking mass partitions and graphons, and identifies a new family of strongly extreme, infinite-rank graphons ...
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Matrix Dirichlet processes [PDF]
Annales de l'Institut Henri Poincaré, Probabilités et Statistiques, 2019 Matrix Dirichlet processes, in reference to their reversible measure, appear in a natural way in many different models in probability. Applying the language of diffusion operators and the method of boundary equations, we describe Dirichlet processes on the simplex and provide two models of matrix Dirichlet processes, which can be realized by various ...
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A dependent Bayesian Dirichlet process model for source apportionment of particle number size distribution. [PDF]
Environmetrics, 2023 Baerenbold O +8 more
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Nonparametric failure time: Time-to-event machine learning with heteroskedastic Bayesian additive regression trees and low information omnibus Dirichlet process mixtures. [PDF]
Biometrics, 2023 Sparapani RA +4 more
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Birth and death processes with absorption
International Journal of Mathematics and Mathematical Sciences, 1992 Spectral measures and transition probabilities of birth and death processes with λ0=μ0=0 are obtained as limite when λ0→0+ of the corresponding quantities. In particular the case of finite population is discussed in full detail.
Mourad E. H. Ismail +2 more
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Dynamic clustering for short text stream based on Dirichlet process. [PDF]
Appl Intell (Dordr), 2022 Xu W, Li Y, Qiang J.
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