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Found 56 Documents (Results 1–56)

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Lee, Cheng Few (ed.) et al., Handbook of financial econometrics, mathematics, statistics, and machine learning. Volume 1. Hackensack, NJ: World Scientific. 791-822 (2021).
MSC:  91G40 62P05 68T05
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Charikar, Moses (ed.) et al., Proceedings of the 51st annual ACM SIGACT symposium on theory of computing, STOC ’19, Phoenix, AZ, USA, June 23–26, 2019. New York, NY: Association for Computing Machinery (ACM). 298-309 (2019).
MSC:  68P27 68T05
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Gammerman, A. (ed.), Artificial intelligence and applications. Machine learning. As part of the 26th IASTED international multi-conference on applied informatics. Calgary: International Association of Science and Technology for Development (IASTED); Anaheim, CA: Acta Press (ISBN 978-0-88986-710-9/CD-ROM). 52-57 (2008).
MSC:  68T05
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Interdisciplinary Statistics. Boca Raton, FL: Chapman & Hall/CRC (ISBN 1-58488-000-7/hbk; 978-0-203-48943-7/ebook). xi, 508 p. (2004).
MSC:  62-02 62J12 65C60 62Pxx
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Gupta, Shanti S. (ed.) et al., Statistical decision theory and related topics V. Proceedings of the fifth Purdue international symposium on statistical decision theory and related topics held at Purdue University, West Lafayette, IN (USA), June 14-19, 1992. New York: Springer-Verlag. 171-181 (1994).
MSC:  62F15 62P10
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Gupta, Shanti S. (ed.) et al., Statistical decision theory and related topics V. Proceedings of the fifth Purdue international symposium on statistical decision theory and related topics held at Purdue University, West Lafayette, IN (USA), June 14-19, 1992. New York: Springer-Verlag. 35-49 (1994).
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