Interactive hypothesis testing against independence

Yu Xiang, Young-Han Kim
2013 2013 IEEE International Symposium on Information Theory  
A hypothesis testing problem with communication constraints is studied, in which two nodes interactively communicate with each other in q rounds to perform a simple binary hypothesis testing on whether the observed random sequences at the nodes are generated independently or not. The optimal tradeoff between the communication rates in q rounds interaction and the testing performance measured by the type II error exponent such that the type I error probability asymptotically vanishes. An example
more » ... is provided that shows that a two-way test outperforms the optimal one-way test and thus that interaction helps for hypothesis testing.
doi:10.1109/isit.2013.6620744 dblp:conf/isit/XiangK13 fatcat:hb33jwwhsrfyhmw4id4dfyqtd4