Scope of Submission
We welcome submissions from a broad range of disciplines, including but not limited to:
- Probabilistic models in mathematical applications
- Stochastic processes in mathematical modeling
- Bayesian approaches to model uncertainty
- Probabilistic risk assessment techniques
- Mathematical modeling of random phenomena
- Statistical inference in probabilistic models
- Markov models in mathematical applications
- Probabilistic modeling in finance and economics
- Applications of probability theory in modeling
- Mathematical modeling of queueing systems
- Monte Carlo methods in probabilistic modeling
- Probabilistic graphical models for data analysis
- Mathematical approaches to reliability under uncertainty
- Probabilistic modeling in environmental sciences
- Statistical methods for probabilistic forecasting
- Modeling complex systems with probabilistic methods
- Mathematical modeling of risk in decision-making
- Applications of stochastic calculus in modeling
- Probabilistic models in machine learning
- Interdisciplinary approaches to probabilistic modeling
All papers must be original and not previously published or submitted elsewhere.
