Results 31 to 40 of about 6,788,804 (303)
Statistical Skorohod embedding problem and its generalizations [PDF]
Given a L\'evy process $L$, we consider the so-called statistical Skorohod embedding problem of recovering the distribution of an independent random time $T$ based on i.i.d.
Belomestny, Denis, Schoenmakers, John
core +5 more sources
On Rough Statistical Convergence in Neutrosophic Normed Spaces [PDF]
In this paper, we have presented rough statistical convergence of sequence on neutrosophic normed spaces as an important convergence criterion. As neutrosophication can handle partially dependent components, partially independent components and even ...
Reena Antal +2 more
doaj +1 more source
In the proposed paper, we have introduced the notion of point-wise relatively statistical convergence, relatively equi-statistical convergence and relatively uniform statistical convergence of sequences of functions based on the difference operator of ...
B. Jena +3 more
semanticscholar +1 more source
This paper investigates the concept of deferred Nörlund I -statistical convergence in probability, mean of order r, distribution, and explores the relationships among these notions.
Ömer Kişi
doaj +1 more source
Generalized Statistical Convergence and Convergence Free Spaces
The statistical convergence was introduced by H. Fast in 1951. Since then this notion has been studied by many authors including J. Connor, J. A. Fridy, H. I. Miller, A. R. Freedman, J. J. Sember, I. J. Maddox, T. Salat, etc. In this paper, by using the concepts of convergence free spaces, cofilters and filters based on a countably infinite set, the ...
Nuray, F, Ruckle, WH
openaire +3 more sources
Relaxed Linearized Algorithms for Faster X-Ray CT Image Reconstruction [PDF]
Statistical image reconstruction (SIR) methods are studied extensively for X-ray computed tomography (CT) due to the potential of acquiring CT scans with reduced X-ray dose while maintaining image quality.
Fessler, Jeffrey A., Nien, Hung
core +1 more source
In this paper, using an infinite matrix of complex numbers, a modulus function and a lacunary sequence, we generalize the concept of I -statistical ...
Ömer Kişi +2 more
doaj +1 more source
Statistical convergence of complex uncertain sequences defined by Orlicz function
Complex uncertain variables are measurable functions from an uncertainty space to the set of complex numbers and are used to model complex uncertain quantities.
P. K. Nath, B. Tripathy
semanticscholar +1 more source
Tauberian theorems for statistical convergence
The Tauberian theorems for statistical limitable method are proved by both Fridy and Khan \cite{3} and M\'oricz \cite{28}. Here we generalize these theorems to (C; i) statistical limitable method.
Gül, Erdal, Albayrak, Mehmet
openaire +4 more sources
Statistical Convergence of Infinite Series [PDF]
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Dindoš, M., Šalát, T., Toma, V.
openaire +2 more sources

