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ABSTRACT In this article, we study complete convergence theorems for weighted sums of negatively dependent random variables under the sub-linear expectations. Our results extend the corresponding results of Sung (2012)… Click to show full abstract
ABSTRACT In this article, we study complete convergence theorems for weighted sums of negatively dependent random variables under the sub-linear expectations. Our results extend the corresponding results of Sung (2012) relative to the classical probability.
Keywords:
random variables;
complete convergence;
weighted sums;
dependent random;
sums negatively;
negatively dependent
Journal Title: Communications in Statistics - Theory and Methods
Year Published: 2019
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Journal Title: Communications in Statistics - Theory and Methods
Year Published: 2019
Link to full text (if available)
Share on Social Media: Sign Up to like & get
recommendations!