Special Issue: Advances in Statistical Inference and Stochastic Processes: Theory and Applications

Guest Editor

Prof. Salim Bouzebda
Université de Technologie de Compiègne, Laboratoire de Mathématiques Appliquées de Compiègne (L.M.A.C.), France
Email: salim.bouzebda@utc.fr

Manuscript Topics


The field of statistical inference and stochastic processes plays a crucial role in various scientific and engineering disciplines. This special issue aims to bring together recent advances and novel contributions in the theory and applications of statistical inference and stochastic processes. We welcome high-quality, original research papers that address theoretical developments, innovative methodologies, and real-world applications. Topics of interest include, but are not limited to, parameter estimation, hypothesis testing, stochastic modeling, functional data analysis, time series analysis, and their applications in fields such as finance, biology, engineering, and environmental science. This special issue seeks to provide a platform for researchers to disseminate their latest findings and to foster collaboration and knowledge exchange in this dynamic area of mathematics.


Instruction for Authors
http://www.aimspress.com/math/news/solo-detail/instructionsforauthors
Please submit your manuscript to online submission system
https://aimspress.jams.pub/

Paper Submission

All manuscripts will be peer-reviewed before their acceptance for publication. The deadline for manuscript submission is 31 January 2025

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