The study of statistical convergence of complex uncertain sequences bridges classical analysis with uncertainty quantification, addressing challenges inherent in systems where outcomes are not ...

Abstract. The aim of paper is to define and study some ideal convergent sequence spaces with the help of generalized difference matrix B (m) n and Orlicz functions. We also make an effort to study ...

Double sequence spaces extend the classical notion of sequence spaces to encompass two-indexed structures, thereby providing a robust framework for the analysis of functions and operators in ...

The paper is concerned with the relationship between various modes of convergence for stochastically monotone sequences of random variables. A necessary and sufficient condition, as well as a ...