The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
Information Science and Statistics
Abstract
The interface between information science and statistics is more often implicit that explicit. It is true that the rapid growth of computer technology and the development of a better understanding of how to handle large amounts of data, has shaped the development of statistics. It is egually true, however, that the way the development of computer technology has influenced the development of statistics seldom in the past was subject to scientific studies on the part of the statisticians. It is of interest, therefore, to discuss the extent to which the development of computer technology has influenced the de facto use of statistical methods.
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Cites
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Maximum Likelihood from Incomplete Data Via the EM Algorithm
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Cited by
(2012) · MPG.PuRe (Max Planck Society) · doi:10.5555/2188385.2188410 · Cited by 3,603
Reinforcement learning in robotics: A survey
Kober, J., Bagnell, J. A., & Peters, J. (2013) · The International Journal of Robotics Research · doi:10.1177/0278364913495721 · Cited by 3,160
Cruz-Jesus, F., Castelli, M., Oliveira, T., Mendes, R., Nunes, C., Sa-Velho, M., & Rosa-Louro, A. (2020) · Heliyon · doi:10.1016/j.heliyon.2020.e04081 · Cited by 118
Machine learning for high-dimensional dynamic stochastic economies
Scheidegger, S., & Bilionis, I. (2019) · Journal of Computational Science · doi:10.1016/j.jocs.2019.03.004 · Cited by 72
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Metadata
- Authors
- Andersen, E. B.
- Venue
- COMPSTAT
- Publisher
- Physica-Verlag HD
- Published
- 1986
- Pages
- 3-9
- OpenAlex
- W995630646
- Cited by
- 899
- References
- 6
- FWCI
- 0.00
- Type
- book chapter
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
