using computational methods. It is the area of computational science (or scientific computing) specific to the mathematical science of statistics. This...

Computational Statistics is a quarterly peer-reviewed scientific journal that publishes applications and research in the field of computational statistics...

Computational Statistics & Data Analysis is a monthly peer-reviewed scientific journal covering research on and applications of computational statistics...

Computational mathematics is the study of the interaction between mathematics and calculations done by a computer. A large part of computational mathematics...

methods of estimation and inference, but also various aspects of computational statistics and the design of experiments. Statistical consultants can help...

In numerical analysis and computational statistics, rejection sampling is a basic technique used to generate observations from a distribution. It is also...

The Journal of Computational and Graphical Statistics is a quarterly peer-reviewed scientific journal published by Taylor & Francis on behalf of the American...

provides a method of pre-aggregating data before bootstrapping to reduce computational constraints. This works by partitioning the data set into b {\displaystyle...

cross-validation techniques for estimating the area under the ROC curve". Computational Statistics & Data Analysis. 55 (4): 1828–1844. doi:10.1016/j.csda.2010.11...

Computational social science is an interdisciplinary academic sub-field concerned with computational approaches to the social sciences. This means that...

series started publishing in 1972 and publishes papers related to computational statistics. It publishes 6 issues each year. Based on Web of Science, the...

Communications in Statistics - Simulation and Computation Computational Statistics Computational Statistics & Data Analysis Journal of Computational and Graphical...

Wiley Interdisciplinary Reviews: Computational Statistics (WIREs Comp Stats) is a review journal for computational and statistical techniques in the sciences...

Computational biology refers to the use of techniques in computer science, data analysis, mathematical modeling and computational simulations to understand...

Algorithms for calculating variance play a major role in computational statistics. A key difficulty in the design of good algorithms for this problem is...

Computational thinking (CT) refers to the thought processes involved in formulating problems so their solutions can be represented as computational steps...

computational statistics, stratified sampling is a method of variance reduction when Monte Carlo methods are used to estimate population statistics from...

hypothesis when it is true. While widely taught in introductory statistics courses, modern computational methods like Fisher's exact test may be preferred for analyzing...

into computational specializations, this field of study includes: Algorithms (numerical and non-numerical): mathematical models, computational models...

example in Bayesian statistics, computational physics, computational biology and computational linguistics. In Bayesian statistics, Markov chain Monte...

inequality Convergence of random variables Computational statistics Markov chain Monte Carlo Bootstrapping (statistics) Jackknife resampling Integrated nested...

statistical procedures in Microsoft Excel 2000 and Excel XP". Computational Statistics & Data Analysis. 40 (4): 713–721. doi:10.1016/S0167-9473(02)00095-6...

variants of conformal prediction have been developed with different computational complexities, formal guarantees, and practical applications. Conformal...

selection for classification trees based on the Gini index" (PDF). Computational Statistics & Data Analysis. 52: 483–501. CiteSeerX 10.1.1.525.3178. doi:10...

Gary (2009). "Ridge regression". Wiley Interdisciplinary Reviews: Computational Statistics. 1: 93–100. doi:10.1002/wics.14. S2CID 64699223. Retrieved August...

Approximate Bayesian computation (ABC) constitutes a class of computational methods rooted in Bayesian statistics that can be used to estimate the posterior...

In statistics and machine learning, Gaussian process approximation is a computational method that accelerates inference tasks in the context of a Gaussian...

FastICA is an efficient and popular algorithm for independent component analysis invented by Aapo Hyvärinen at Helsinki University of Technology. Like...

The Statistics Online Computational Resource (SOCR) is an online multi-institutional research and education organization. SOCR designs, validates and...

"Reducing the computational cost of the ECF using a nuFFT: A fast and objective probability density estimation method". Computational Statistics & Data Analysis...