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Ceberio, Martine (ed.) et al., How uncertainty related ideas can provide theoretical explanation for empirical dependencies. Cham: Springer. Stud. Syst. Decis. Control 306, 27-35 (2021).
MSC:  62P25 62C25
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Ceberio, Martine (ed.) et al., How uncertainty related ideas can provide theoretical explanation for empirical dependencies. Cham: Springer. Stud. Syst. Decis. Control 306, 1-5 (2021).
MSC:  62C25 62A01
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Comput. Math. Math. Phys. 61, No. 5, 836-846 (2021); translation from Zh. Vychisl. Mat. Mat. Fiz. 61, No. 5, 865-877 (2021).
MSC:  49K45 90C39 65F99
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Boca Raton, FL: CRC Press (ISBN 978-0-367-74490-8/hbk; 978-1-003-15814-1/ebook). 138 p. (2021).
MSC:  90B50 62C10
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Cambridge Series in Statistical and Probabilistic Mathematics 40. Cambridge: Cambridge University Press (ISBN 978-1-108-99413-2/pbk; 978-1-00-902281-1/ebook). xiv, 690 p. (2021).
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Advances in Computer Vision and Pattern Recognition. Cham: Springer (ISBN 978-3-030-61942-8/hbk; 978-3-030-61943-5/ebook). xxviii, 355 p. (2021).
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Singapore: Springer (ISBN 978-981-15-9391-8/pbk; 978-981-15-9392-5/ebook). xi, 83 p. (2021).
MSC:  90-02 90-10 90B50
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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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