Bayesian empirical likelihood estimation for kink regression with unknown threshold

Bayesian empirical likelihood estimation for kink regression with unknown threshold

© Springer International Publishing AG 2018. Bayesian inference provides a flexible way of combining data with prior information from our knowledge. However, Bayesian estimation is very sensitive to the likelihood. We need to evaluate the likelihood density, which is difficult to evaluate, in order...

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Main Authors:	Woraphon Yamaka, Pathairat Pastpipatkul, Songsak Sriboonchitta
格式:	Book Series
出版:	2018
主題:	Computer Science
在線閱讀:	https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85037863242&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/58520
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