Computational Statistics
Computational Statistics or Statistical Computing refers to the interface between statistics and computer science. It is a branch of Scientific Computing ( modern: Scientific Computing) involves referring to the statistics, but also other areas of applied mathematics. This area is developing very fast since the widespread availability of computers. Therefore, it is required that in addition to the theoretical and mathematical concepts, and relevant content of computer science and applied mathematics be part of the statistics education.
The terms Computational Statistics and Statistical Computing are often used interchangeably. Carlo Lauro, a former president of the International Association for Statistical Computing, suggested a difference between the two terms to make:
- Statistical Computing is the application of computer science concepts in statistics, for example in the development of statistical programs or programming languages, while
- Computational Statistics refers more to the design and implementation of statistical algorithms on the computer (eg, bootstrapping, Monte Carlo simulations, etc. ) and the numerical solution analytically intractable problems ( eg optimization problems, etc.).
The term Computational Statistics also known computationally intensive statistical methods such as resampling, Markov chain Monte Carlo method, the non- or semiparameterische regression or density estimation, neural networks, etc.
- 5.1 companies
- 5.2 Magazines
Magazines
- Communications in Statistics - Simulation and Computation
- Computational Statistics
- Computational Statistics & Data Analysis
- Journal of Computational and Graphical Statistics
- Journal of Statistical Computation and Simulation
- Journal of Statistical Software
- Statistics and Computing
- Wiley Interdisciplinary Reviews Computational Statistics
Companies
- International Association for Statistical Computing