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Found 2,345 Documents (Results 1–100)

Theory of adaptive estimation. (English) Zbl 07822601

Beliaev, Dmitry (ed.) et al., International congress of mathematicians 2022, ICM 2022, Helsinki, Finland, virtual, July 6–14, 2022. Volume 7. Sections 15–20. Berlin: European Mathematical Society (EMS). 5478-5498 (2023).
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Simple adaptive estimation of quadratic functionals in nonparametric IV models. (English) Zbl 07822577

Belomestny, Denis (ed.) et al., Foundations of modern statistics. Festschrift in honor of Vladimir Spokoiny. Selected contributions based on the presentations at the international conference, Berlin, Germany, November 6–8, 2019 and Moscow, Russia, November 30, 2019. Cham: Springer. Springer Proc. Math. Stat. 425, 459-482 (2023).
MSC:  62-XX
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Distributionally robust optimization by probability criterion for estimating a bounded signal. (English) Zbl 1528.94018

Khachay, Michael (ed.) et al., Mathematical optimization theory and operations research. 22nd international conference, MOTOR 2023, Ekaterinburg, Russia, July 2–8, 2023. Proceedings. Cham: Springer. Lect. Notes Comput. Sci. 13930, 181-194 (2023).
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Estimation of multidimensional stationary stochastic sequences from observations in special sets of points. (English) Zbl 1515.60083

Moklyachuk, Mikhail (ed.), Stochastic processes. Fundamentals and emerging applications. New York, NY: Nova Science Publishers. Math. Res. Dev., 249-307 (2022).
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Minimax prediction of sequences with periodically stationary increments observed with noise and cointegrated sequences. (English) Zbl 07713451

Moklyachuk, Mikhail (ed.), Stochastic processes. Fundamentals and emerging applications. New York, NY: Nova Science Publishers. Math. Res. Dev., 189-247 (2022).
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Estimation problems for periodically correlated stochastic sequences with missed observations. (English) Zbl 07713449

Moklyachuk, Mikhail (ed.), Stochastic processes. Fundamentals and emerging applications. New York, NY: Nova Science Publishers. Math. Res. Dev., 111-162 (2022).
MSC:  62M20 62P20 93E10
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