Distributed binary hypothesis testing over a discrete memoryless channel is studied, with an exact error-exponent tradeoff for remote testing and two inner bounds for the general correlated case.
On the problem of the most efficient tests of statistical hypotheses,
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Distributed Hypothesis Testing over a Noisy Channel: Error-exponents Trade-off
Distributed binary hypothesis testing over a discrete memoryless channel is studied, with an exact error-exponent tradeoff for remote testing and two inner bounds for the general correlated case.