Bayesian Nonparametric Modeling of Categorical Data for Information Fusion and Causal Inference

Bayesian Nonparametric Modeling of Categorical Data for Information Fusion and Causal Inference

This paper presents a nonparametric regression model of categorical time series in the setting of conditional tensor factorization and Bayes network. The underlying algorithms are developed to provide a flexible and parsimonious representation for fusion of correlated information from heterogeneous...

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Bibliographic Details
Main Authors: Sihan Xiong, Yiwei Fu, Asok Ray
Format: Article
Language:English
Published: MDPI AG 2018-05-01
Series:Entropy
Subjects:
Bayesian nonparametric
information fusion
causal inference
conditional tensor factorization
Bayes factor
sequential classification
thermoacoustic instability
Online Access:http://www.mdpi.com/1099-4300/20/6/396

Internet

http://www.mdpi.com/1099-4300/20/6/396

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