M. S. Ermakov, “Minimax detection of a signal in Gaussian white noise”, Teor. Veroyatnost. i Primenen., 35:4 (1990), 704–715; Theory Probab. Appl., 35:4 (1990), 667

Citation in format AMSBIB

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\by M.~S.~Ermakov

\paper Minimax detection of a~signal in Gaussian white noise

\jour Teor. Veroyatnost. i Primenen.

\yr 1990

\vol 35

\issue 4

\pages 704--715

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\transl

\jour Theory Probab. Appl.

\yr 1990

\vol 35

\issue 4

\pages 667--679

\crossref{https://doi.org/10.1137/1135098}

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This publication is cited in the following 51 articles:

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M. S. Ermakov, “Nonparametric Signal Detection with Small Values of Type I and Type II Error Probabilities”, J Math Sci, 2024
Gilles Blanchard, Jean-Baptiste Fermanian, Springer Proceedings in Mathematics & Statistics, 425, Foundations of Modern Statistics, 2023, 121
Clément Canonne, Samuel B. Hopkins, Jerry Li, Allen Liu, Shyam Narayanan, 2023 IEEE 64th Annual Symposium on Foundations of Computer Science (FOCS), 2023, 2159
M. S. Ermakov, “Neparametricheskoe obnaruzhenie signala s malymi znacheniyami veroyatnostei oshibok pervogo i vtorogo roda”, Veroyatnost i statistika. 32, Posvyaschaetsya yubileyu Ildara Abdullovicha IBRAGIMOVA, Zap. nauchn. sem. POMI, 510, POMI, SPb., 2022, 124–142
Kohtaro Hitomi, Masamune Iwasawa, Yoshihiko Nishiyama, “Optimal minimax rates against nonsmooth alternatives”, The Econometrics Journal, 25:2 (2022), 322
Tigran Galstyan, Arshak Minasyan, Arnak S. Dalalyan, “Optimal detection of the feature matching map in presence of noise and outliers”, Electron. J. Statist., 16:2 (2022)
M. S. Ermakov, “On Asymptotically Minimax Nonparametric Detection of Signal in Gaussian White Noise”, J Math Sci, 251:1 (2020), 78
Yuting Wei, Martin J. Wainwright, “The Local Geometry of Testing in Ellipses: Tight Control via Localized Kolmogorov Widths”, IEEE Trans. Inform. Theory, 66:8 (2020), 5110
M. S. Ermakov, “O ravnomernoi sostoyatelnosti neparametricheskikh kriteriev. I”, Veroyatnost i statistika. 28, Zap. nauchn. sem. POMI, 486, POMI, SPb., 2019, 98–147
Yuting Wei, Martin J. Wainwright, Adityanand Guntuboyina, “The geometry of hypothesis testing over convex cones: Generalized likelihood ratio tests and minimax radii”, Ann. Statist., 47:2 (2019)
M. S. Ermakov, “Ob asimptoticheski minimaksnom obnaruzhenii signala v gaussovskom belom shume”, Veroyatnost i statistika. 27, Zap. nauchn. sem. POMI, 474, POMI, SPb., 2018, 124–138
Sivaraman Balakrishnan, Larry Wasserman, “Hypothesis testing for high-dimensional multinomials: A selective review”, Ann. Appl. Stat., 12:2 (2018)
Ji P. Nussbaum M., “Sharp Minimax Adaptation Over Sobolev Ellipsoids in Nonparametric Testing”, Electron. J. Stat., 11:2 (2017), 4515–4562
Cristina Butucea, Natalia Stepanova, “Adaptive variable selection in nonparametric sparse additive models”, Electron. J. Statist., 11:1 (2017)
A. Antoniadis, I.K. Glad, H. Mohammed, “Local comparison of empirical distributions via nonparametric regression”, Journal of Statistical Computation and Simulation, 85:12 (2015), 2384
Clément Marteau, Theofanis Sapatinas, “A unified treatment for non-asymptotic and asymptotic approaches to minimax signal detection”, Statist. Surv., 9:none (2015)
Michael Nussbaum, Wiley StatsRef: Statistics Reference Online, 2014
“To the memory of Yu. I. Ingster”, J. Math. Sci. (N. Y.), 204:1 (2015), 1–6