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Found 661 Documents (Results 1–100)

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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Minimax-robust estimation problems for sequences with periodically stationary increments observed with noise. (English) Zbl 1474.60097

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Selection of window length in singular spectrum analysis of a time series. (English) Zbl 1414.62383

Bertail, Patrice (ed.) et al., Nonparametric statistics. 3rd ISNPS, Avignon, France, June 2016. Seleced papers of the 3rd conference of the International Society for Nonparametric Statistics (ISNPS), Avignon, France, June 11–16, 2016. Cham: Springer. Springer Proc. Math. Stat. 250, 311-322 (2018).
MSC:  62M10 62G07 62M15
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Estimates of functionals constructed from random sequences with periodically stationary increments. (English. Ukrainian original) Zbl 1409.60051

Theory Probab. Math. Stat. 97, 85-98 (2018); translation from Teor. Jmovirn. Mat. Stat. 97, 83-96 (2017).
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Minimax interpolation of stochastic processes with stationary increments from observations with noise. (English. Ukrainian original) Zbl 1371.60064

Theory Probab. Math. Stat. 94, 121-135 (2017); translation from Teor. Jmovirn. Mat. Stat. 94, 116-129 (2016).
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On diagnostic checking autoregressive conditional duration models with wavelet-based spectral density estimators. (English) Zbl 1367.62254

Li, Wai Keung (ed.) et al., Advances in time series methods and applications. The A. Ian McLeod festschrift, University of Ontario, ON, Canada, June 2–3, 2014. Toronto: The Fields Institute for Research in the Mathematical Sciences; New York, NY: Springer (ISBN 978-1-4939-6567-0/hbk; 978-1-4939-6568-7/ebook). Fields Institute Communications 78, 47-106 (2016).
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