Methodology and Computing in Applied Probability

Methodology and Computing in Applied Probability is a journal that publishes high quality research and review articles in areas of applied probability that emphasize methodology and computing.

• Highlights articles examining important applications and detailed case studies.
• Covers a broad range of interests including algorithms, finance, mathematical physics, and more.
• Uses Springer Nature’s Article Processing Platform, Snapp, for peer reviews.
• A favorable choice for authors, with 100% surveyed reporting likelihood to publish again in the journal.