2016 |
Panov M., Panov M. “Nonasymptotic approach to Bayesian semiparametric inference” // Doklady
Mathematics, Volume 93, Number 2, 2016, pp. 155-158. http://link.springer.com/article/10.1134/S1064562416020101
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2015 |
Panov M., Burnaev E., 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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Panov M., 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 |
Panov M., Maxim E. Panov , Vladimir G. Spokoiny "Critical dimension in the semiparametric Bernstein—von Mises theorem". Proceedings of the Steklov Institute of Mathematics
December 2014, Volume 287, Issue 1, pp 232-255. http://link.springer.com/article/10.1134%2FS0081543814080148
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2011 |
Panov M., 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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