Panov M. “Nonasymptotic approach to Bayesian semiparametric inference” // Doklady Mathematics, Volume 93, Number 2, 2016, pp. 155-158.
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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.
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Maxim Panov, Vladimir Spokoiny, “Finite Sample Bernstein–von Mises Theorem for Semiparametric Problems”, Bayesian Analysis, 10:3 (2015), 665–710.
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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.
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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.
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