DissertationDOI
The statistical analysis of compositional data
Shir-ming. Shen,沈雪明 +1 more
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The article was published on 1983-01-01. It has received 766 citations till now. The article focuses on the topics: Compositional data.read more
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Proceedings ArticleDOI
Dynamic topic models
David M. Blei,John Lafferty +1 more
TL;DR: A family of probabilistic time series models is developed to analyze the time evolution of topics in large document collections, and dynamic topic models provide a qualitative window into the contents of a large document collection.
Book
Bayesian Forecasting and Dynamic Models
Mike West,Jeff Harrison +1 more
TL;DR: In this article, the authors propose a model called the Dynamic Regression Model (DRM) which is an extension of the First-Order Polynomial Model (FOPM) and the Dynamic Linear Model (DLM).
Journal ArticleDOI
A correlated topic model of Science
David M. Blei,John Lafferty +1 more
TL;DR: The correlated topic model (CTM) is developed, where the topic proportions exhibit correlation via the logistic normal distribution, and it is demonstrated its use as an exploratory tool of large document collections.
Proceedings Article
Correlated Topic Models
John Lafferty,David M. Blei +1 more
TL;DR: The correlated topic model (CTM) is developed, where the topic proportions exhibit correlation via the logistic normal distribution and a mean-field variational inference algorithm is derived for approximate posterior inference in this model, which is complicated by the fact that the Logistic normal is not conjugate to the multinomial.
Book
Geostatistical Reservoir Modeling
TL;DR: This paper presents a meta-modelling framework for estimating uncertainty management in the context of reservoir management, using data from the Gridding Reservoir Layers study as a guide.
References
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Proceedings ArticleDOI
Dynamic topic models
David M. Blei,John Lafferty +1 more
TL;DR: A family of probabilistic time series models is developed to analyze the time evolution of topics in large document collections, and dynamic topic models provide a qualitative window into the contents of a large document collection.
Book
Bayesian Forecasting and Dynamic Models
Mike West,Jeff Harrison +1 more
TL;DR: In this article, the authors propose a model called the Dynamic Regression Model (DRM) which is an extension of the First-Order Polynomial Model (FOPM) and the Dynamic Linear Model (DLM).
Journal ArticleDOI
A correlated topic model of Science
David M. Blei,John Lafferty +1 more
TL;DR: The correlated topic model (CTM) as mentioned in this paper uses the logistic normal distribution to model the topic proportions, which is a variant of the Dirichlet distribution used in LDA.
Proceedings Article
Correlated Topic Models
John Lafferty,David M. Blei +1 more
TL;DR: The correlated topic model (CTM) is developed, where the topic proportions exhibit correlation via the logistic normal distribution and a mean-field variational inference algorithm is derived for approximate posterior inference in this model, which is complicated by the fact that the Logistic normal is not conjugate to the multinomial.
Book
Geostatistical Reservoir Modeling
TL;DR: This paper presents a meta-modelling framework for estimating uncertainty management in the context of reservoir management, using data from the Gridding Reservoir Layers study as a guide.