scholarly journals Bayesian Model Selection Approach to Multiple Change-Points Detection with Non-Local Prior Distributions

2019 ◽  
Vol 13 (5) ◽  
pp. 1-17
Author(s):  
Fei Jiang ◽  
Guosheng Yin ◽  
Francesca Dominici
2019 ◽  
Author(s):  
Danielle Navarro ◽  
Michael David Lee

This paper develops a new representational model of similarity data that combines continuous dimensions with discrete features. An algorithm capable of learning these representations is described, and a Bayesian model selection approach for choosing the appropriate number of dimensions and features is developed. The approach is demonstrated on a classic data set that considers the similarities between the numbers 0 through 9.


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