Computationally Intensive Methods
Resource type
Book Section
Authors/contributors
- Ewens, Warren J. (Author)
- Grant, Gregory R. (Author)
- Ewens, Warren J. (Editor)
- Grant, Gregory R. (Editor)
Title
Computationally Intensive Methods
Abstract
An important trend in statistical inference over the last twenty years has been the introduction of computationally intensive methods. These have been made possible by the availability of convenient and greatly increased computing power, and these methods are useful in bioinformatics and computational biology. Aspects of some computationally intensive methods used for both estimation and hypothesis testing are outlined in this chapter. Computationally intensive methods arise in both classical and Bayesian inference: We concentrate here on computationally intensive methods in classical inference.
Book Title
Statistical Methods in Bioinformatics: An Introduction
Series
Statistics for Biology and Health
Place
New York, NY
Publisher
Springer
Date
2001
Pages
349-363
Language
en
ISBN
978-1-4757-3247-4
Accessed
28/12/2022, 16:56
Library Catalogue
Springer Link
Extra
Citation
Ewens, W. J., & Grant, G. R. (2001). Computationally Intensive Methods. In W. J. Ewens & G. R. Grant (Eds.), Statistical Methods in Bioinformatics: An Introduction (pp. 349–363). Springer. https://doi.org/10.1007/978-1-4757-3247-4_12
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