Stochastic Models is devoted to the theory and applications of probability as they arise in the modeling of phenomena in the natural sciences and technology. It presents contributions on the mathematical methodology, from structural, analytical, and algorithmic to experimental approaches. It offers an interdisciplinary presentation on the uses of probability theory and discusses practical applications of stochastic models to diverse areas such as biology, computer science/telecommunications modeling, inventories and dams, reliability, storage, queuing theory, and operations research.
| YEAR | Impact Factor |
|---|---|
| 2023-24 | 0.5 |
| 2022 | 0.7 |
| 2021 | 0.613 |
STOCHASTIC MODELS, 1532-6349, 2002-ongoing, Mathematics.