 Computational statistics

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.
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 to statistics", and 'computational statistics' as "aiming at the design of algorithm for implementing statistical methods on computers, including the ones unthinkable before the computer age (e.g. bootstrap, simulation), as well as to cope with analytically intractable problems" [sic].^{[1]}
The term 'Computational statistics' may also be used to refer to computationally intensive statistical methods including resampling methods, Markov chain Monte Carlo methods, local regression, kernel density estimation, artificial neural networks and generalized additive models.
Contents
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
 Statistics and Computing
 Wiley Interdisciplinary Reviews Computational Statistics
Associations
 International Association for Statistical Computing
See also
 Free statistical software
 List of statistical packages
 Machine learning
References
 ^ Lauro, Carlo (1996), "Computational statistics or statistical computing, is that the question?", Computational Statistics & Data Analysis 23: 191–193, doi:10.1016/01679473(96)889201, http://www.sciencedirect.com/science/article/B6V8V3SWT44YF/2/5320a35df36fb38ffba03483c73dc861
Further reading
Articles
 Albert, J.H.; Gentle, J.E. (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 0387746757
 Gentle, James E. (2002), Elements of Computational Statistics, Springer, ISBN 0387954899
 Gentle, James E.; Härdle, Wolfgang; Mori, Yuichi, eds. (2004), Handbook of Computational Statistics: Concepts and Methods, Springer, ISBN 3540404643
 Givens, Geof H.; Hoeting, Jennifer A. (2005), Computational Statistics, Wiley Series in Probability and Statistics, WileyInterscience, ISBN 9780471461241
 Klemens, Ben (2008), Modeling with Data: Tools and Techniques for Statistical Computing, Princeton University Press, ISBN 9780691133140
 Monahan, John (2001), Numerical Methods of Statistics, Cambridge University Press, ISBN 9780521791687
 Rose, Colin; Smith, Murray D. (2002), Mathematical Statistics with Mathematica, Springer Texts in Statistics, Springer, ISBN 0387952349
 Thisted, Ronald Aaron (1988), Elements of Statistical Computing: Numerical Computation, CRC Press, ISBN 0412013711
External links
Associations
 International Association for Statistical Computing
 Statistical Computing section of the American Statistical Association
Journals
Categories:
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