Aim and Scope
The Journal of Statistical Computing and Algorithm (JSCA) aims to provide an opportunity for leading academicians, engineers, researchers and industrial professionals across the world to publish their research findings experiences on the latest developments in interdisciplinary research in the field of computer science and its related areas.
Topics Covered
The main topics include but will not be limited to: (Excellent surveying works, summary or introduction of new or fresh idea in these areas are welcome, too).
- Areas in statistics
- Biometrics
- Econometrics
- Data analysis
- Simulation
- Algorithms
- Knowledge-based systems
- Bayesian computing.
- Bootstrap resampling
- Bayesian computation
- Search and optimization methods
- Stochastic simulation
- Statistical approaches to software errors
- Information retrieval
- Machine learning
- Statistics of databases and database technology
- Huge data sets and big data analytics
- Graphical models
- Tomography
- Inverse problems and uncertainty quantification.