Hierarchical evolving Dirichlet processes for modeling nonlinear evolutionary traces in temporal data

DOI10.1007/s10618-016-0454-1zbMath1416.62365OpenAlexW2339131634MaRDI QIDQ1741291

Peng Wang, Peng Zhang, Hong Yang, Chuan Zhou, Zhao Li

Publication date: 3 May 2019

Published in: Data Mining and Knowledge Discovery (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10618-016-0454-1

zbMATH Keywords

Dirichlet processesChinese restaurant processessoft clustering for textstemporal topic models

Mathematics Subject Classification ID

Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Classification and discrimination; cluster analysis (statistical aspects) (62H30) Stationary stochastic processes (60G10)

Related Items (1)

Dynamic hierarchical Dirichlet processes topic model using the power prior approach

Uses Software

• BayesDA

Cites Work

• Detecting communities and their evolutions in dynamic social networks -- a Bayesian approach
• The coalescent
• Mixtures of Dirichlet processes with applications to Bayesian nonparametric problems
• Evolutionary soft co-clustering: formulations, algorithms, and applications
• Representations for multi-document event clustering
• Adaptive evolutionary clustering
• Hierarchical Dirichlet Processes
• 10.1162/jmlr.2003.3.4-5.993
• Order-Based Dependent Dirichlet Processes
• Variational inference for Dirichlet process mixtures
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