“…To develop generative SDE models for discrete data such as biological sequences, here we introduce a diffusion process defined in the probability simplex space with stationary distribution being the Dirichlet distribution. This makes diffusion in continuous space natural for modeling discrete data. …”
Enlace del recurso
Enlace del recurso

“…We introduce Dirichlet multinomial mixtures (DMM) for the probabilistic modelling of microbial metagenomics data. …”
Enlace del recurso
Enlace del recurso
Enlace del recurso

Enlace del recurso
Enlace del recurso

“…In this article, we propose a clustering algorithm based on the hierarchical Dirichlet processes (HDP). The HDP clustering introduces a hierarchical structure in the statistical model which captures the hierarchical features prevalent in biological data such as the gene express data. …”
Enlace del recurso
Enlace del recurso
Enlace del recurso

“…We consider a class of partial differential equations with the fractional Laplacian and the homogeneous Dirichlet boundary data. Some sufficient condition under which the solutions of the equations considered depend continuously on parameters is stated. …”
Enlace del recurso
Enlace del recurso
Enlace del recurso

“…We applied natural language processing techniques to the unstructured data to quantify the risk of termination by identifying distinctive topics that are more frequently associated with trials that are terminated and trials that are completed. We used the Latent Dirichlet Allocation (LDA) technique to derive 25 “topics” with corresponding sets of probabilities, which we then used to predict study-termination by utilizing random forest modeling. …”
Enlace del recurso
Enlace del recurso
Enlace del recurso

“…We propose a new generative model for topic segmentation based on Latent Dirichlet Allocation. The task is to divide a document into a sequence of topically coherent segments, while preserving long topic change-points (coherency) and keeping short topic segments from getting merged (saliency). …”
Enlace del recurso
Enlace del recurso

“…In this paper, we try to combine the spectral domain of kernels with nonparametric Bayesian models. Dirichlet processes mixture models are used to resolve this problem by changing the number of components according to the data size. …”
Enlace del recurso
Enlace del recurso

Enlace del recurso
Enlace del recurso
Enlace del recurso

“…The present paper shows the application of the Latent Dirichlet allocation model, a well known technique in the area of Natural Language Processing, to search for latent dimensions in the product space of international trade, and their distribution across countries over time. …”
Enlace del recurso
Enlace del recurso
Enlace del recurso

“…We study the stability and the solvability of a family of problems [Formula: see text] with Dirichlet boundary conditions, where [Formula: see text] , u, [Formula: see text] are allowed to vary as well. …”
Enlace del recurso
Enlace del recurso
Enlace del recurso

“…The proposed method builds a mixture model using Dirichlet distribution which works with the unit sum constraint. …”
Enlace del recurso
Enlace del recurso
Enlace del recurso

“…We study ergodic decompositions of Dirichlet spaces under intertwining via unitary order isomorphisms. …”
Enlace del recurso
Enlace del recurso
Enlace del recurso

Enlace del recurso

Enlace del recurso

Enlace del recurso

Enlace del recurso

Enlace del recurso

“…Compared with latent Dirichlet allocation, Gaussian latent Dirichlet allocation is limited in the sense that it does not capture the polysemy of a word such as “bank.” …”
Enlace del recurso
Enlace del recurso
Enlace del recurso

“…A generic random effects formulation for the Dirichlet negative multinomial distribution is developed together with a convenient regression parameterization. …”
Enlace del recurso
Enlace del recurso
Enlace del recurso