2000 character limit reached
Hypothesis testing with active information
Published 9 Nov 2020 in math.ST, cs.IT, math.IT, and stat.TH | (2011.04834v3)
Abstract: We develop hypothesis testing for active information -the averaged quantity in the Kullback-Liebler divergence. To our knowledge, this is the first paper to derive exact probabilities of type-I errors for hypothesis testing in the area.
Paper Prompts
Sign up for free to create and run prompts on this paper using GPT-5.
Top Community Prompts
Collections
Sign up for free to add this paper to one or more collections.
