**Computational statistics** , or **statistical computing** , is the interface between statistics and computer science . It is the area of computational science (or scientific computing) specific to the mathematical science of statistics . This area is also rapidly expanding to include a broader concept of computing as part of general statistical education . ^{[1]}

As in traditional statistics the goal is to transform raw data into knowledge ^{[2]} , but the focus lies on the computer intensive statistical methods , such as cases with large sample size and non-homogeneous data sets . ^{[2]}

The terms ‘computational statistics’ and ‘statistical computing’ are often used interchangeably, although Carlo Lauro (a former president of the International Association for Statistical Computing ) proposed making a distinction, defining ‘statistical computing’ as the application of computer science statistics “, and ‘computational statistics’ as” unattended before the computer age (eg bootstrap , simulation ), as well as to cope with analytically intractable problems “[ *sic* ] . ^{[3]}

The term ‘Computational statistics’ may be used to également Refer to computationally *intensive* statistical methods Including resampling methods, Markov Chain Monte Carlo methods, local regression , kernel density estimation , neural networks artificial and additive generalized models .

## Computational statistics journals

*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**The R Journal**Statistics and Computing**Wiley Interdisciplinary Reviews Computational Statistics*

## Associations

- International Association for Statistical Computing

## See also

- Statistical methods in artificial intelligence
- Free statistical software
- List of statistical algorithms
- List of statistical packages
- Machine learning

## References

**Jump up^**Nolan, D.& Lang Temple, D. (2010). “Computing in the Statistics Curricula”,*The American Statistician***64**(2), pp.97-107.- ^ Jump up to:
^{a }^{b}Wegman, Edward J. ” Computational Statistics: A New Agenda for Statistical Theory and Practice. ”*Journal of the Washington Academy of Sciences*, vol. 78, no. 4, 1988, pp. 310-322.*JSTOR* **Jump up^**Lauro, Carlo (1996), “Computational statistics or statistical computing, is that the question?” ,*Computational Statistics & Data Analysis*,**23**(1): 191-193, doi : 10.1016 / 0167-9473 (96) 88920-1

## Further reading

### Articles

- Albert, JH; Gentle, JE (2004), Albert, James H; Gentle, James E, eds., “Special Section: Teaching Computational Statistics,”
*The American Statistician*,**58**: 1-1, doi : 10.1198 / 0003130042872 - Wilkinson, Leland (2008), “The Future of Statistical Computing (with discussion)”,
*Technometrics*,**50**(4): 418-435, doi : 10.1198 / 004017008000000460

### Books

- Drew, John H .; Evans, Diane L .; Glen, Andrew G .; Lemis, Lawrence M. (2007),
*Computational Probability: Algorithms and Applications in the Mathematical Sciences*, Springer International Series in Operations Research & Management Science, Springer, ISBN 0-387-74675-7 - Gentle, James E. (2002),
*Elements of Computational Statistics*, Springer, ISBN 0-387-95489-9 - Gentle, James E .; Härdle, Wolfgang; Mori, Yuichi, eds. (2004),
*Handbook of Computational Statistics: Concepts and Methods*, Springer, ISBN 3-540-40464-3 - Givens, Geof H .; Hoeting, Jennifer A. (2005),
*Computational*Statistics, Wiley-Interscience, ISBN 978-0-471-46124-1 - Klemens, Ben (2008) , Princeton University Press,
*Modeling with Data: Tools and Techniques for Statistical Computing*, ISBN 978-0-691-13314-0 - Monahan, John (2001),
*Numerical Methods of Statistics*, Cambridge University Press, ISBN 978-0-521-79168-7 - Rose, Colin; Smith, Murray D. (2002),
*Mathematical Statistics with Mathematics*, Springer Texts in Statistics, Springer, ISBN 0-387-95234-9 - Thisted, Ronald Aaron (1988),
*Elements of Statistical Computing: Numerical Computation*, CRC Press, ISBN 0-412-01371-1 - Gharieb, Reda. R. (2017),
*Data Science: Scientific and Statistical Computing*, Noor Publishing, ISBN 978-3-330-97256-8