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Found 2,212 Documents (Results 1–100)

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Lee, Cheng Few (ed.) et al., Handbook of financial econometrics, mathematics, statistics, and machine learning. Volume 4. Hackensack, NJ: World Scientific. 4421-4440 (2021).
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Maciak, Matúš (ed.) et al., Analytical methods in statistics. AMISTAT. Proceedings of the workshop, Liberec, Czech Republic, September 16–19, 2019. Cham: Springer (ISBN 978-3-030-48813-0/hbk; 978-3-030-48814-7/ebook). Springer Proceedings in Mathematics & Statistics 329, 1-15 (2020).
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Stavrinides, Stavros G. (ed.) et al., Chaos and complex systems. Proceedings of the 5th international interdisciplinary chaos symposium on chaos and complex systems, CCS 2019, Antalya, Turkey, May 9–12, 2019. Cham: Springer. Springer Proc. Complex., 3-14 (2020).
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SpringerBriefs in Statistics; JSS Research Series in Statistics. Singapore: Springer (ISBN 978-981-15-4997-7/pbk; 978-981-15-4998-4/ebook). xvi, 131 p. (2020).
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Big Data, Artificial Intelligence and Data Analysis Set 6. London: ISTE; Hoboken, NJ: John Wiley & Sons (ISBN 978-1-78630-624-1/hbk; 978-1-119-72161-1/ebook). xv, 282 p. (2020).
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Petrucci, Alessandra (ed.) et al., New statistical developments in data science – SIS 2017. Extended versions of papers based on the conference on statistics and data science: new challenges, new generations, Florence, Italy, June 28–30, 2017. Cham: Springer. Springer Proc. Math. Stat. 288, 435-446 (2019).
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Valenzuela, Olga (ed.) et al., Theory and applications of time series analysis. Selected contributions from the international conference on time series and forecasting, ITISE 2018, Granada, Spain, September 19–21, 2018. Cham: Springer. Contrib. Stat., 171-185 (2019).
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Steland, Ansgar (ed.) et al., Stochastic models, statistics and their applications. Collected papers based on the presentations at the 14th workshop, Dresden, Germany, March 6–8, 2019. Cham: Springer. Springer Proc. Math. Stat. 294, 291-303 (2019).
MSC:  62M10 62H12 62P25
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