Scope of Submission
We welcome submissions from a broad range of disciplines, including but not limited to:
- Optimization techniques in statistics
- Statistical methods for optimization problems
- Applications of linear programming
- Nonlinear optimization techniques
- Stochastic optimization approaches
- Statistical learning and optimization
- Multi-objective optimization strategies
- Bayesian optimization methods
- Robust optimization in statistics
- Applications of convex analysis
- Statistical inference in optimization
- Game theory and optimization techniques
- Dynamic programming in statistics
- Heuristic methods for optimization
- Optimization in machine learning
- Statistical modeling and optimization
- Applications of optimization in finance
- Optimization in operations research
- Statistical quality control methods
- Future trends in optimization research
All papers must be original and not previously published or submitted elsewhere.
