6533b7d8fe1ef96bd126aaaa
RESEARCH PRODUCT
Contributed discussion on article by Pratola [Comment on "M.T. Pratola, Efficient metropolis-hastings proposal mechanisms for Bayesian regression tree models"]
Reza MohammadiM. C. Kapteinsubject
Brain Networks and Neuronal Communication [DI-BCB_DCC_Theme 4]Cognitive artificial intelligencedescription
Contains fulltext : 161650.pdf (Publisher’s version ) (Open Access) The author should be commended for his outstanding contribution to the literature on Bayesian regression tree models. The author introduces three innovative sampling approaches which allow for efficient traversal of the model space. In this response, we add a fourth alternative. 3 p.
year | journal | country | edition | language |
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2016-01-01 |