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Latent Dirichlet mixture model

Neurocomputing, 2018
Text representation based on latent topic model is seen as a non-Gaussian problem where the observed words and latent topics are multinomial variables and the topic proportionals are Dirichlet variables. Traditional topic model is established by introducing a single Dirichlet prior to characterize the topic proportionals.
Jen-Tzung Chien   +2 more
openaire   +2 more sources

Mixture Models

2008
Bruce G. Lindsay, Michael Stewart
openaire   +1 more source

Modelling with Mixtures

1992
Abstract Discrete mixtures of distributions of standard parametric forms commonly arise in statistical modelling and with methods of analysis that exploit mixture structure. This paper discusses general issues of modelling with mixtures that arise in fitting mixtures to data distributions, using mixtures to approximate functional ...
openaire   +1 more source

Regionalization of watersheds by finite mixture models

Journal of Hydrology, 2020
Ali Ahani   +2 more
exaly  

Mixture Models

Technometrics, 1991
Mehdi Razzaghi   +2 more
openaire   +1 more source

Nonparametric Mixture of Regression Models

Journal of the American Statistical Association, 2013
Mian Huang, Runze Li
exaly  

Mixture Regression Models

2002
Wedel, M., DeSarbo, W.S.
openaire   +2 more sources

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