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Found 817 Documents (Results 1–100)

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Studies in Systems, Decision and Control 306. Cham: Springer (ISBN 978-3-030-65323-1/hbk; 978-3-030-65324-8/ebook). x, 151 p. (2021).
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Kreinovich, Vladik (ed.), Statistical and fuzzy approaches to data processing, with applications to econometrics and other areas. In honor of Hung T. Nguyen’s 75th birthday. Cham: Springer. Stud. Comput. Intell. 892, 133-143 (2021).
MSC:  62R07 62C86 62C05
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Jakubowski, Jacek (ed.) et al., Stochastic modeling and control. Based on the Simons semester, Warsaw, Poland, January 2 – March 31, 2019. Warsaw: Polish Academy of Sciences, Institute of Mathematics. Banach Cent. Publ. 122, 25-39 (2020).
MSC:  90C40 62C05 90C47
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SpringerBriefs in Statistics. JSS Research Series in Statistics. Singapore: Springer (ISBN 978-981-15-1595-8/pbk; 978-981-15-1596-5/ebook). ix, 112 p. (2020).
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Graduate Texts in Operations Research. Cham: Springer (ISBN 978-3-030-29218-8/hbk; 978-3-030-29219-5/ebook). xii, 249 p. (2020).
MSC:  90C15 90-02 62C05
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Boca Raton, FL: CRC Press (ISBN 978-1-138-08356-1/hbk; 978-1-315-11222-0/ebook). xvi, 287 p. (2020).
MSC:  62-02 62C05
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Autom. Remote Control 80, No. 5, 882-896 (2019); translation from Avtom. Telemekh. 2019, No. 5, 118-135 (2019).
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Adams, Niall (ed.) et al., Statistical data science. Collected papers related to the conference “Statistical Data Science”, London, UK, July 2017. Hackensack, NJ: World Scientific (ISBN 978-1-78634-539-4/hbk; 978-1-78634-541-7/ebook). 141-153 (2018).
MSC:  62C05 62G05 62A01
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Polpo, Adriano (ed.) et al., Bayesian inference and maximum entropy methods in science and engineering. MaxEnt 37, Jarinu, Brazil, July 09–14, 2017. Cham: Springer (ISBN 978-3-319-91142-7/hbk; 978-3-319-91143-4/ebook). Springer Proceedings in Mathematics & Statistics 239, 177-186 (2018).
MSC:  62C05
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Hanneke, Steve (ed.) et al., International conference on algorithmic learning theory. Proceedings of the 28th conference (ALT 2017), Kyoto University, Kyoto, Japan, October 15–17, 2017. [s.l.]: Proceedings of Machine Learning Research PMLR. Proc. Mach. Learn. Res. (PMLR) 76, 151-184 (2017).
MSC:  62C05 60E05 62L10
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Ferraro, Maria Brigida (ed.) et al., Soft methods for data science. Selected papers based on the presentations at the 8th international conference on soft methods in probability and statistics, SMPS 2016, Rome, Italy, September 12–14, 2016. Cham: Springer. Adv. Intell. Syst. Comput. 456, 127-134 (2017).
MSC:  62-07 62C05 62C25
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Princeton, NJ: Princeton University Press (ISBN 978-0-691-16992-7/hbk; 978-1-4008-8306-6/ebook). xiii, 393 p. (2016).
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Kosorok, Michael R. (ed.) et al., Adaptive treatment strategies in practice. Planning trials and analyzing data for personalized medicine. Philadelphia, PA: Society for Industrial and Applied Mathematics (SIAM); Alexandria, VA: American Statistical Association (ASA) (ISBN 978-1-61197-417-1/hbk; 978-1-61197-418-8/ebook). ASA-SIAM Series on Statistics and Applied Probability 21, 249-262 (2016).
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