Journals Statistics and Computing

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Name
Statistics and Computing
Subjects
Statistical concepts in computing science
Bootstrap resampling
Markov chain Monte Carlo
Sequential Monte Carlo
Approximate Bayesian computation
Search and optimization methods
Stochastic simulation and Monte Carlo
Graphics
Computer environments
Statistical approaches to software errors
Information retrieval
Machine learning
Statistics of databases and database technology
Huge data sets and big data analytics
Computer algebra
Graphical models
Image processing
Tomography
Inverse problems and uncertainty quantification
ISSN
1573-1375
Description
Statistics and Computing is a bi-monthly refereed journal that publishes papers covering the interface between the statistical and computing sciences. The journal includes techniques for evaluating analytically intractable problems, such as bootstrap resampling, Markov chain Monte Carlo, sequential Monte Carlo, approximate Bayesian computation, search and optimization methods, stochastic simulation and Monte Carlo, graphics, computer environments, statistical approaches to software errors, information retrieval, machine learning, statistics of databases and database technology, huge data sets and big data analytics, computer algebra, graphical models, image processing, tomography, inverse problems and uncertainty quantification. Addresses the use of statistical concepts in computing science, for example, in machine learning, computer vision and data analytics, as well as the use of computers in data modelling, prediction and analysis. Publishes original research reports, authoritative review papers, discussion papers, book review and software review sections. Features special issues dedicated to important and emerging topics or the proceedings of relevant conferences.
Impact Factor (2 years)
2.383
Publisher
Springer Nature
Journal type
Open Access

Journals Publications
(All)



Results 1-3 of 3 (Search time: 0.095 seconds).

Issue DateTitleAuthor(s)
11-Mar-2017Estimating large-scale general linear and seemingly unrelated regressions models after deleting observationsHadjiantoni, Stella ; Kontoghiorghes, Erricos John 
22013On Bayesian nonparametric modelling of two correlated distributionsKolossiatis, Michalis ; Griffin, Jim E. ; Steel, Mark F J 
32013A fast algorithm for non-negativity model selectionGatu, Cristian ; Kontoghiorghes, Erricos John