Bayesian Decision Theory and the Design and Analysis of Randomized Clinical Trials

Author(s):  
Andrew R. Willan
2020 ◽  
Vol 41 (1) ◽  
pp. 55-91
Author(s):  
Kentaro Sakamaki ◽  
Michio Kanekiyo ◽  
Shoichi Ohwada ◽  
Kentaro Matsuura ◽  
Tomoyuki Kakizume ◽  
...  

2020 ◽  
Vol 43 ◽  
Author(s):  
Peter Dayan

Abstract Bayesian decision theory provides a simple formal elucidation of some of the ways that representation and representational abstraction are involved with, and exploit, both prediction and its rather distant cousin, predictive coding. Both model-free and model-based methods are involved.


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