On Boolean selfdecomposable distributions
Takahiro Hasebe, Kei Noba, Noriyoshi Sakuma, Yuki Ueda

TL;DR
This paper explores Boolean selfdecomposable distributions, establishing their regularity properties, analyzing the effects of shifting measures, and providing examples, including the normal distribution, to illustrate these concepts.
Contribution
It introduces Boolean selfdecomposable distributions, proves their regularity properties, and examines how shifting affects their selfdecomposability, with specific examples.
Findings
Number of atoms in Boolean selfdecomposable distributions is at most two
Singular continuous part of such distributions is zero
Standard normal distribution is Boolean selfdecomposable, shifted normal is not for large shifts
Abstract
This paper introduces the class of selfdecomposable distributions concerning Boolean convolution. A general regularity property of Boolean selfdecomposable distributions is established; in particular the number of atoms is at most two and the singular continuous part is zero. We then analyze how shifting probability measures changes Boolean selfdecomposability. Several examples are presented to supplement the above results. Finally, we prove that the standard normal distribution is Boolean selfdecomposable but the shifted one is not for sufficiently large .
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Taxonomy
TopicsBayesian Methods and Mixture Models · Statistical Distribution Estimation and Applications · Probabilistic and Robust Engineering Design
