Results 41 to 50 of about 18,707 (285)

On ideal convergence in probabilistic normed spaces

Mathematica Slovaca, 2011
Abstract An interesting generalization of statistical convergence is I-convergence which was introduced by P.Kostyrko et al [KOSTYRKO,P.—ŠALÁT,T.—WILCZYŃSKI,W.: I-Convergence, Real Anal. Exchange 26 (2000–2001), 669–686]. In this paper, we define and study the concept of I-convergence, I*-convergence, I-limit points and I-cluster points ...
Mursaleen, M., Mohiuddine, S. A.
openaire   +2 more sources

On the Discrete Approximation by the Mellin Transform of the Riemann Zeta-Function

Mathematics, 2023
In the paper, it is obtained that there are infinite discrete shifts Ξ(s+ikh), h>0, k∈N0 of the Mellin transform Ξ(s) of the square of the Riemann zeta-function, approximating a certain class of analytic functions. For the proof, a probabilistic approach
Virginija Garbaliauskienė, Antanas Laurinčikas, Darius Šiaučiūnas   +2 more
doaj   +1 more source

On Strong A-statistical Convergence in Probabilistic Metric Spaces

, 2022
In this paper we study some basic properties of strong A-statistical convergence and strong A-statistical Cauchyness of sequences in probabilistic metric spaces not done earlier. We also study some basic properties of strong A-statistical limit points and strong A-statistical cluster points of a sequence in a probabilistic metric space. Further we also
Malik, Prasanta, Das, Samiran
openaire   +2 more sources

An Estimation of Distribution Particle Swarm Optimization Algorithm [PDF]

, 2006
In this paper we present an estimation of distribution par-ticle swarm optimization algorithm that borrows ideas from recent de-velopments in ant colony optimization.
Iqbal, Mudassar, Montes De Oca Roldan, Marco, Marco A. Montes de Oca, Mudassar Iqbal, de Oca, Marco A. Montes, Iqbal, Musaddar   +5 more
core   +1 more source

Stability and sensitivity analysis of stochastic programs with second order dominance constraints [PDF]

, 2010
In this paper we present stability and sensitivity analysis of a stochastic optimization problem with stochastic second order dominance constraints. We consider perturbation of the underlying probability measure in the space of regular measures equipped ...
Xu, Huifu, Yongchao Liu, Liu, Yongchao, Huifu Xu   +3 more
core   +1 more source

Certain aspects of rough I-statistical convergence in probabilistic n-normed space

, 2023
The main aim of this investigation is to introduce rough I -statistical convergence in probabilistic n-normed spaces (briefly Pr -n-spaces). We establish some results on rough I -statistical convergence and also we introduce the notion of rough I ...
Tripathy, Binod Chandra, Gurdal, Mehmet, Kişi, Ömer   +2 more
core   +1 more source

Design and analysis strategies for robust microbiome ageing research

FEBS Letters, EarlyView.
The gut microbiome changes with age and associates with age‐related morbidity and mortality, establishing it as a potential biomarker and intervention target for ageing. Realising this potential requires methodological rigour, yet distinguishing biological signals from methodological artefacts remains challenging across cohorts. This review provides an
Mark Olenik, İsmail Güderer, Yi Wang, Tayyaba Alvi, Prasoon Pandey, Handan Melike Dönertaş   +5 more
wiley   +1 more source

Similarity searches in genome-wide numerical data sets

Biology Direct, 2006
We present psi-square, a program for searching the space of gene vectors. The program starts with a gene vector, i.e., the set of measurements associated with a gene, and finds similar vectors, derives a probabilistic model of these vectors, then repeats
Coleman Michael, Glazko Galina, Mushegian Arcady   +2 more
doaj   +1 more source

Markov chain Monte Carlo methods for state-space models with point process observations [PDF]

, 2012
This letter considers how a number of modern Markov chain Monte Carlo (MCMC) methods can be applied for parameter estimation and inference in state-space models with point process observations.
Niranjan, Mahesan, Girolami, Mark, Yuan, Ke   +2 more
core   +1 more source

Differential expression of cancer‐related genes supports prediction of poor response to first‐line treatments in T‐ALL pediatric patients with high minimal residual disease

Molecular Oncology, EarlyView.
In the present work, we have identified a transcriptional signature based on the differential expression of six genes (BCL2&MAST4, HSH2D&LAT2, METRN&PITPNM2) that would facilitate the early detection of T‐cell acute lymphoblastic leukemia (T‐ALL) patients prone to a poor treatment response and could be implemented at diagnosis, along with other risk ...
Antonio Lahera, Laura Vela‐Martín, Pablo Fernández‐Navarro, José Luis López‐Lorenzo, Javier Cornago, Pilar Llamas, Eduardo Pérez‐Gómez, José Luis Marín‐Rubio, Manuel Fresno, Javier Santos, José Fernández‐Piqueras, María Villa‐Morales   +11 more
wiley   +1 more source