scholarly journals A fully Bayesian mixture model approach for identifying noncompliance in a regulatory tobacco clinical trial

2020 ◽  
Vol 39 (9) ◽  
pp. 1328-1342
Author(s):  
Alexander M. Kaizer ◽  
Joseph S. Koopmeiners
Keyword(s):  
Clinical Trial ◽  
Mixture Model ◽  
Bayesian Mixture Model ◽  
Mixture Model Approach ◽  
Bayesian Mixture ◽  
Fully Bayesian ◽  
Model Approach

A Bayesian Mixture Model Approach to Anomaly Detection with Application to Wind Tunnel Experiments

2021 ◽  
Author(s):  
Sierra N. Merkes ◽  
Scotland Leman ◽  
Eric Smith ◽  
Aaron Defreitas ◽  
William N. Alexander ◽  
...  
Keyword(s):  
Wind Tunnel ◽  
Anomaly Detection ◽  
Mixture Model ◽  
Wind Tunnel Experiments ◽  
Bayesian Mixture Model ◽  
Mixture Model Approach ◽  
Bayesian Mixture ◽  
Model Approach

scholarly journals Bayesian Stable Mixture Model of State Densities of Generalized Chua's Circuit

2015 ◽  
Vol 25 (03) ◽  
pp. 1550038 ◽  
Author(s):  
F. Acar Savaci ◽  
Serpil Yilmaz
Keyword(s):  
Mixture Model ◽  
Chaotic Attractors ◽  
Chua’S Circuit ◽  
Chua's Circuit ◽  
Bayesian Mixture Model ◽  
Multimodal Distributions ◽  
Bayesian Mixture ◽  
State Densities ◽  
Fully Bayesian ◽  
Stable Mixture

In this paper, the probability density functions (PDFs) of the states of Generalized Chua's Circuit (GCC) have been modeled by Finite Mixture α-Stable (FMαS) distributions which is a Bayesian mixture model of α-stable distributions and it provides semiparametric characterization for the distributions of multiscroll chaotic attractors. Fully Bayesian approach has been applied to estimate the mixture parameters of multimodal distributions corresponding to the multiscroll chaotic attractors.

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