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Payame Noor University strives to ensure the reliability and accuracy of all information (hereinafter referred to as “Content”) published under its name. Nevertheless, neither Payame Noor University nor its representatives or licensors guarantee the precision, completeness, or suitability of the Content for any particular purpose.
The opinions and conclusions presented in the papers are solely those of the authors and do not necessarily reflect the official views or positions of Payame Noor University. Readers are advised to verify the information independently before relying on it. Payame Noor University shall not be held responsible or liable for any direct or indirect damages, losses, claims, or expenses that may result from the use or interpretation of the Content in any form.
Open Access Policy
The Journal of Advances in Statistical Learning and Data Analysis (JASLDA) offers immediate open access to all its published materials, supporting the belief that unrestricted access to scientific research enhances the global exchange of knowledge and promotes innovation. Complete texts of all published articles are available through the Browse section on the journal’s official website.
This journal adheres to the Budapest Open Access Initiative (BOAI) principles, ensuring compatibility with most international open-access and archiving standards.
As an open-access journal, all materials published in JASLDA are freely accessible to readers and institutions without any subscription or payment. Users are authorized to read, download, reproduce, distribute, print, search, or link to the full text of the articles, and to use them for any legitimate academic or educational purpose, provided that proper citation of the source is given.
About Journal of Advances in Statistical Learning and Data Analysis
Country of Publication: Iran
Publisher: Payame Noor University Press
Format: Print and Online
Start Publishing: 2026
Print-ISSN: (To be assigned)
E-ISSN: (To be assigned)
Available from: Payame Noor University Press, Google Scholar, Magiran, Civilica, and other academic databases
Impact Factor (ISC): —
Frequency: Semiannual
Publication Dates: 2026
Language: English
Scope: Statistical Learning, Big data Analysis, Image Processing Algorithms in Deep Learning, Fuzzy Statistics, Time Series Modeling, Bayesian Inference, Reliability Analysis, Statistical Quality Control, Computational Statistics, and Data Science
Article Processing Charges (APC): No
Type of Journal: Academic / Scholarly
Open Access: Yes
Indexed & Abstracted: Google Scholar, Civilica, Magiran (in progress)
Policy: Double-Blind Peer Review
Initial Screening Time: Up to ten (10) days
Average Review Time: Approximately three (3) weeks
Contact E-mail: jaslda@pnu.ac.ir
Alternate E-mail: makhdoom@pnu.ac.ir