Advances in Statistical Simulation and Computing
A special issue of Axioms (ISSN 2075-1680).
Deadline for manuscript submissions: 20 February 2025 | Viewed by 111
Special Issue Editors
Interests: goodness of fit; applied statistics; time series; modeling
Special Issue Information
Dear Colleagues,
Statistical simulation and computing are essential tools for addressing complex problems in various disciplines that would otherwise be intractable. On the one hand, there are simulation techniques based on sampling that are invaluable resources for exploring statistical and probalistic models. Moreover, there is the growing availability of computational potential and the development of sophisticated algorithms that allow speeding up the delivery time of results.
This Special Issue aims to gather articles that present theoretical and applied advancements in simulation methodologies, computational algorithms, and practical applications across various scientific and engineering disciplines. We seek contributions that address new statistical simulation techniques, improvements in existing algorithms, and case studies demonstrating the applicability and efficiency of these methods in real-world problems. We invite researchers and professionals to share their findings and contribute to the academic discussion on the future of statistical simulation and computing.
Dr. Francisco Novoa-Muñoz
Dr. Bernardo M. Lagos-Álvarez
Guest Editors
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
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Keywords
- statistical simulation
- computational statistics
- algorithms and practical applications
- theoretical advancements in statistical simulations
- monte carlo method
- simulation techniques
- programing techniques (e.g., modular, dynamic, functional, concurrent, dynamic, etc.)
- probabilistic programing
- parallel programing applied to statistics
- concurrent programing applied to statistics
- distributed programing applied to statistics
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