On nonlinear weak law of large numbers
Alina Akhmiarova, Alexander Veretennikov

TL;DR
This paper introduces a new nonlinear weak law of large numbers that does not require the existence of first moments and relaxes independence assumptions, expanding the theoretical understanding of convergence in probability.
Contribution
It proposes a novel version of the nonlinear weak law of large numbers without assuming first moments and with relaxed independence conditions.
Findings
Established a new form of nonlinear weak law of large numbers
Removed the requirement for the existence of first moments
Relaxed the independence assumption in the law
Abstract
A new version of a weak nonlinear law of large numbers proposed. The existence of the first moment for any summand is not assumed. The assumption of independence is understood in the nonlinear sense, and may be further a little relaxed.
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Taxonomy
TopicsProbability and Risk Models · Mathematical and Theoretical Analysis · Quantum Mechanics and Applications
