Results 31 to 40 of about 123,391 (326)
A truncated bivariate inverted Dirichlet distribution
Statistica, 2013 A truncated version of the bivariate inverted dirichlet distribution is introduced. Unlike the inverted dirichlet distribution, this possesses finite moments of all orders and could therefore be a better model for certain practical situations.
Saralees Nadarajah
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Improving application performance with biased distributions of quantum states
Physical Review Research, 2021 We consider the properties of a specific distribution of mixed quantum states of arbitrary dimension that can be biased towards a specific mean purity. In particular, we analyze mixtures of Haar-random pure states with Dirichlet-distributed coefficients.
Sanjaya Lohani +5 more
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Value Distribution of General Dirichlet series. VI
Nonlinear Analysis, 2005 In the paper a limit theorem in the sense of weak convergence of probability measures on the complex plane for a new class of general Dirichlet series is obtained.
A. Laurinčikas
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Implications of Spectral Interlacing for Quantum Graphs
Entropy, 2023 Quantum graphs are ideally suited to studying the spectral statistics of chaotic systems. Depending on the boundary conditions at the vertices, there are Neumann and Dirichlet graphs.
Junjie Lu +3 more
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Means of a Dirichlet process and multiple hypergeometric functions
, 2004 The Lauricella theory of multiple hypergeometric functions is used to shed some light on certain distributional properties of the mean of a Dirichlet process. This approach leads to several results, which are illustrated here.
Antonio Lijoi +2 more
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Modeling geo-homopholy in online social networks for population distribution projection [PDF]
International Journal of Crowd Science, 2017 Purpose – Projecting the population distribution in geographical regions is important for many applications such as launching marketing campaigns or enhancing the public safety in certain densely populated areas.
Yuanxing Zhang +5 more
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Cruising The Simplex: Hamiltonian Monte Carlo and the Dirichlet Distribution
, 2012 Due to its constrained support, the Dirichlet distribution is uniquely suited to many applications. The constraints that make it powerful, however, can also hinder practical implementations, particularly those utilizing Markov Chain Monte Carlo (MCMC ...
Betancourt, M. J.
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Asymptotics for Constrained Dirichlet Distributions
Bayesian Analysis, 2013 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Geyer, Charles, Meeden, Glen
openaire +3 more sources
, 2016 The application of Partial Membership Latent Dirichlet Allocation(PM-LDA) for hyperspectral endmember estimation and spectral unmixing is presented. PM-LDA provides a model for a hyperspectral image analysis that accounts for spectral variability and ...
Zare, Alina, Zou, Sheng
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Clustering in Additive Mixed Models with Approximate Dirichlet Process Mixtures using the EM Algorithm [PDF]
, 2013 We consider additive mixed models for longitudinal data with a nonlinear time trend. As random effects distribution an approximate Dirichlet process mixture is proposed that is based on the truncated version of the stick breaking presentation of the ...
Heinzl, Felix, Tutz, Gerhard
core +2 more sources