2016 |
Панов М.Е., Панов М.Е. Неасимптотический подход к оцениванию в байесовских семипараметрических задачах // Доклады академии наук, 2016, том 467, № 2, с. 139–143.
http://link.springer.com/article/10.1134/S1064562416020101
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2015 |
Панов М.Е., Бурнаев Е.В., Evgeny Burnaev, Maxim Panov "Adaptive Design of Experiments Based on Gaussian Processes". Statistical Learning and Data Sciences
Volume 9047 of the series Lecture Notes in Computer Science pp. 116-125.
http://link.springer.com/chapter/10.1007%2F978-3-319-17091-6_7
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Панов М.Е., Maxim Panov, Vladimir Spokoiny, “Finite Sample Bernstein–von Mises Theorem for Semiparametric Problems”, Bayesian Analysis, 10:3 (2015), 665–710. http://iitp.ru/https://projecteuclid.org/euclid.ba/1422884986
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2014 |
Панов М.Е., М. Е. Панов, В. Г. Спокойный "Критическая размерность в семипараметрической теореме Бернштейна–фон Мизеса". Тр. МИАН, 287 (2014), 242–266. http://link.springer.com/article/10.1134%2FS0081543814080148
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2011 |
Панов М.Е., Maxim Panov, Alexander Tatarchuk, Vadim Mottl, David Windridge "A Modified Neutral Point Method for Kernel-Based Fusion of Pattern-Recognition Modalities with Incomplete Data Sets". Multiple Classifier Systems. Volume 6713 of the series Lecture Notes in Computer Science pp. 126-136. http://link.springer.com/chapter/10.1007%2F978-3-642-21557-5_15#page-1
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