Journal Information

Methodology and Computing in Applied Probability

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Impact Factor:
1.0
Publisher:
Springer
ISSN:
1387-5841
Viewed:
17072
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0

Call For Papers

Methodology and Computing in Applied Probability is an academic journal published by Springer. (ISSN 1387-5841, impact factor 1.0).

Aims and scope Methodology and Computing in Applied Probability will publish high quality research and review articles in the areas of applied probability that emphasize methodology and computing. Of special interest are articles in important areas of applications that include detailed case studies. Applied probability is a broad research area that is of interest to many scientists in diverse disciplines including: anthropology, biology, communication theory, economics, epidemiology, finance, linguistics, meteorology, operations research, psychology, quality control, reliability theory, sociology and statistics. The following alphabetical listing of topics of interest to the journal is not intended to be exclusive but to demonstrate the editorial policy of attracting papers which represent a broad range of interests: Algorithms Approximations Asymptotic Approximations & Expansions Combinatorial & Geometric Probability Communication Networks Extreme Value Theory Finance Image Analysis Inequalities Information Theory Mathematical Physics Molecular Biology Monte Carlo Methods Order Statistics Queuing Theory Reliability Theory Stochastic Processes
Last updated by Dou Sun in

Special Issues

Special Issue on International Congress on Modelling and Simulation 2025 Submission Date: 2026-06-30 This topical collection includes a selection of papers presented at the 26th International Congress on Modelling and Simulation, held in Adelaide, South Australia, from 30 November to 4 December 2025. This biennial congress, which attracts 600-900 participants, is one of the major international conferences in the field of modelling and simulation. This collection provides a forum for academics and practitioners to disseminate high-quality results related to different aspects of modelling and simulation. Topics include, but are not limited to, probabilistic and statistical modelling, game theory, optimal decision making, statistical and machine learning, Bayesian computing, Markov decision processes and Monte Carlo methods.
Last updated by Dou Sun in
Special Issue on International Workshop on Applied Probability 2025 Submission Date: 2026-06-30 This special issue contains a collection of papers presented at the 11th International Workshop on Applied Probability: Probability, Statistics and their Applications (IWAP 2025), which took place on North Carolina State’s campus in Raleigh, North Carolina on June 9-13, 2025. https://link.springer.com/collections/cjbfgeijia
Last updated by Dou Sun in
Special Issue on Markov and Semi-Markov Processes and Related Fields: Theory and Applications — Selected Contributions from SMP2026 Submission Date: 2026-09-30 This Topical Collection will gather selected papers associated with SMP2026 — The 5th International Symposium on Markov and Semi-Markov Processes and Related Fields: Theory and Applications, an international scientific conference in honor of Professor Nikolaos Limnios, to be held in Hammamet, Tunisia, from May 19 to 22, 2026. The collection will bring together high-quality contributions on theoretical, methodological, and applied aspects of Markov processes, semi-Markov processes, Markov renewal processes, and related fields.
Last updated by Dou Sun in

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