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Found 20,922 Documents (Results 1–100)

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Fujii, Tomohiro; Hirokawa, Masao
A data concealing technique with random noise disturbance and a restoring technique for the concealed data by stochastic process estimation. (English) Zbl 07315586
Takagi, Tsuyoshi (ed.) et al., International symposium on mathematics, quantum theory, and cryptography. Proceedings of MQC 2019, Fukuoka, Japan, September 25–27, 2019. Singapore: Springer (ISBN 978-981-15-5190-1/hbk; 978-981-15-5191-8/ebook). Mathematics for Industry 33, 103-124 (2021).
MSC:  94A60
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\textit{T. Fujii} and \textit{M. Hirokawa}, Math. Ind. (Tokyo) 33, 103--124 (2021; Zbl 07315586)
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Tsai, Henghsiu; Ho, Hwai-Chung; Chen, Hung-Yin
Non-parametric inference on risk measures for integrated returns. (English) Zbl 1451.91232
Lee, Cheng Few (ed.) et al., Handbook of financial econometrics, mathematics, statistics, and machine learning. Volume 3. Hackensack, NJ: World Scientific. 2485-2497 (2021).
MSC:  91G70 62P05 62G05
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\textit{H. Tsai} et al., in: Handbook of financial econometrics, mathematics, statistics, and machine learning. Volume 3. Hackensack, NJ: World Scientific. 2485--2497 (2021; Zbl 1451.91232)
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Rudenko, E. A.
An optimal recurrent logical-dynamical filter of a high order and its covariance approximations. (English. Russian original) Zbl 07314520
J. Comput. Syst. Sci. Int. 59, No. 6, 854-870 (2020); translation from Izv. Ross. Akad. Nauk, Teor. Sist. Upravl. 2020, No. 6, 42-59 (2020).
MSC:  93E11 93E10 93C55
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\textit{E. A. Rudenko}, J. Comput. Syst. Sci. Int. 59, No. 6, 854--870 (2020; Zbl 07314520); translation from Izv. Ross. Akad. Nauk, Teor. Sist. Upravl. 2020, No. 6, 42--59 (2020)
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Nikitin, Ya. Yu.; Polevaya, T. A.
On the average perimeter of the inscribed random polygon. (English. Russian original) Zbl 07310920
Vestn. St. Petersbg. Univ., Math. 53, No. 1, 58-63 (2020); translation from Vestn. St-Peterbg. Univ., Ser. I, Mat. Mekh. Astron. 7(65), No. 1, 77-84 (2020).
MSC:  62F10 60D05 60G60 51E12
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\textit{Ya. Yu. Nikitin} and \textit{T. A. Polevaya}, Vestn. St. Petersbg. Univ., Math. 53, No. 1, 58--63 (2020; Zbl 07310920); translation from Vestn. St-Peterbg. Univ., Ser. I, Mat. Mekh. Astron. 7(65), No. 1, 77--84 (2020)
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Arkhipov, A. S.; Semenikhin, K. V.
Minimax linear estimation with the probability criterion under unimodal noise and bounded parameters. (English. Russian original) Zbl 07294510
Autom. Remote Control 81, No. 7, 1176-1191 (2020); translation from Avtom. Telemekh. 2020, No. 7, 14-33 (2020).
MSC:  93E10 93B27
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\textit{A. S. Arkhipov} and \textit{K. V. Semenikhin}, Autom. Remote Control 81, No. 7, 1176--1191 (2020; Zbl 07294510); translation from Avtom. Telemekh. 2020, No. 7, 14--33 (2020)
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Bulté, Matthieu; Latz, Jonas; Ullmann, Elisabeth
A practical example for the non-linear Bayesian filtering of model parameters. (English) Zbl 07287511
D’Elia, Marta (ed.) et al., Quantification of uncertainty: improving efficiency and technology. QUIET. Selected contributions based on the presentations at the international workshop, Trieste, Italy, July 18–21, 2017. Cham: Springer (ISBN 978-3-030-48720-1/hbk; 978-3-030-48721-8/ebook). Lecture Notes in Computational Science and Engineering 137, 241-272 (2020).
MSC:  62M20 62L12 65C05 62P35 86A20
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\textit{M. Bulté} et al., Lect. Notes Comput. Sci. Eng. 137, 241--272 (2020; Zbl 07287511)
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Radojičić, Una; Nordhausen, Klaus
Non-Gaussian component analysis: testing the dimension of the signal subspace. (English) Zbl 07287465
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, 101-123 (2020).
MSC:  62H12 62H25 60G35 94A12
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\textit{U. Radojičić} and \textit{K. Nordhausen}, in: Analytical methods in statistics. AMISTAT. Proceedings of the workshop, Liberec, Czech Republic, September 16--19, 2019. Cham: Springer. 101--123 (2020; Zbl 07287465)
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Koul, Hira L.; Geng, Pei
Weighted empirical minimum distance estimators in Berkson measurement error regression models. (English) Zbl 07287462
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, 31-71 (2020).
MSC:  62H15 62G07 62G08 62M45
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\textit{H. L. Koul} and \textit{P. Geng}, in: Analytical methods in statistics. AMISTAT. Proceedings of the workshop, Liberec, Czech Republic, September 16--19, 2019. Cham: Springer. 31--71 (2020; Zbl 07287462)
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Kalina, Jan; Vidnerová, Petra
Regression neural networks with a highly robust loss function. (English) Zbl 07287461
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, 17-29 (2020).
MSC:  62H15 62G07 62G08 62M45
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\textit{J. Kalina} and \textit{P. Vidnerová}, in: Analytical methods in statistics. AMISTAT. Proceedings of the workshop, Liberec, Czech Republic, September 16--19, 2019. Cham: Springer. 17--29 (2020; Zbl 07287461)
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Güney, Yeşim; Jurečková, Jana; Arslan, Olcay
Averaged autoregression quantiles in autoregressive model. (English) Zbl 07287460
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).
MSC:  62H15 62G07 62G08 62M10 62M45
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\textit{Y. Güney} et al., in: Analytical methods in statistics. AMISTAT. Proceedings of the workshop, Liberec, Czech Republic, September 16--19, 2019. Cham: Springer. 1--15 (2020; Zbl 07287460)
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Barbu, Vlad Stefan (ed); Vergne, Nicolas (ed.)
Statistical topics and stochastic models for dependent data with applications. Based on the workshop on random models and statistical tools, informatics and combinatorics, MOUSTIC – modèles aléatoires et outils statistiques, informatiques et combinatoires, Rouen, France, October 3–5, 2018. (English) Zbl 1452.62022
Mathematics and Statistics Series. London: ISTE; Hoboken, NJ: John Wiley & Sons (ISBN 978-1-78630-603-6/hbk; 978-1-119-77942-1/ebook). xii, 259 p. (2020).
MSC:  62-06 62M05 00B25
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\textit{V. S. Barbu} and \textit{N. Vergne} (ed.), Statistical topics and stochastic models for dependent data with applications. Based on the workshop on random models and statistical tools, informatics and combinatorics, MOUSTIC -- modèles aléatoires et outils statistiques, informatiques et combinatoires, Rouen, France, October 3--5, 2018. London: ISTE; Hoboken, NJ: John Wiley \& Sons (2020; Zbl 1452.62022)
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