Results 41 to 50 of about 121,868 (329)
This article develops a baseline on how to analyse the statements of monetary policy from Lesotho’s Central Bank using a method of topic classification that utilizes a machine learning algorithm known as Latent Dirichlet Allocation.
Damane Moeti
doaj +1 more source
Means of a Dirichlet process and multiple hypergeometric functions
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
core +2 more sources
Clustering in Additive Mixed Models with Approximate Dirichlet Process Mixtures using the EM Algorithm [PDF]
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
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In this study, multi-patch collaborative learning is introduced into variational low-rank matrix factorization to suppress mixed noise in hyperspectral images (HSIs).
Shuai Liu, Jie Feng, Zhiqiang Tian
doaj +1 more source
A stochastic diffusion process for Lochner's generalized Dirichlet distribution
The method of potential solutions of Fokker-Planck equations is used to develop a transport equation for the joint probability of N stochastic variables with Lochner's generalized Dirichlet distribution (R.H. Lochner, A Generalized Dirichlet Distribution
Bakosi, J., Ristorcelli, J. R.
core +1 more source
Some properties of a generalized type-1 Dirichlet distribution
This paper deals with a generalization of type-1 Dirichlet density by incorporating partial sums of the component variables. We study various proportions, structural decompositions, connections to random volumes and p-parallelotopes.
E. V. Mayamol
doaj +1 more source
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
core +1 more source
Dirichlet Posterior Sampling with Truncated Multinomial Likelihoods [PDF]
We consider the problem of drawing samples from posterior distributions formed under a Dirichlet prior and a truncated multinomial likelihood, by which we mean a Multinomial likelihood function where we condition on one or more counts being zero a priori.
Johnson, Matthew James, Willsky, Alan S.
core
Melt Grafting of Geometry‐Tailored Voltage Stabilizers for High‐Performance Polypropylene Insulation
A scalable one‐step melt grafting strategy is developed to enhance the dielectric properties of isotactic polypropylene by covalently incorporating thermally stable aromatic voltage stabilizers. This solvent‐free approach improves volume resistivity and DC breakdown strength through deep trap formation and charge localization, offering a sustainable ...
Nazirul Mubin bin Normansah +9 more
wiley +1 more source
This paper is concerned with the reliable inference of optimal tree-approximations to the dependency structure of an unknown distribution generating data.
C.K. Chow +21 more
core +1 more source

