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.
| Property | Value |
|---|
| dbpprop:abstract
|
- 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, as well as to cope with analytically intractable problems" [sic]. 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 and generalized additive models.
|
| dbpprop:date
| |
| dbpprop:reference
| |
| dbpprop:wikiPageUsesTemplate
| |
| rdfs:comment
|
- 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.
|
| rdfs:label
| |
| owl:sameAs
| |
| skos:subject
| |
| foaf:page
| |
| is dbpprop:redirect
of | |
![[RDF Data]](/statics/sw-cube.png)
