@inproceedings{bd736954e7bc4400af6b0878365ffb16,

title = "Estimation of Bounded Normal Mean: An Alternative Proof for the Discreteness of the Least Favorable Prior",

abstract = "This paper studies the classical Bayesian normal mean estimation problem where the estimand is assumed to be contained in a bounded set. It is known that the least favorable distribution for this mean estimation problem is discrete with finitely many mass points. This work offers an alternative proof utilizing the variational diminishing property of Gaussian kernels.",

author = "Semih Yagli and Alex Dytso and Poor, {H. Vincent}",

year = "2019",

month = aug,

doi = "10.1109/ITW44776.2019.8988927",

language = "English (US)",

series = "2019 IEEE Information Theory Workshop, ITW 2019",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

booktitle = "2019 IEEE Information Theory Workshop, ITW 2019",

address = "United States",

note = "2019 IEEE Information Theory Workshop, ITW 2019 ; Conference date: 25-08-2019 Through 28-08-2019",

}