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Found 25 Documents (Results 1–25)

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Things Bayes can’t do. (English) Zbl 1480.62011

Ortner, Ronald (ed.) et al., Algorithmic learning theory. 27th international conference, ALT 2016, Bari, Italy, October 19–21, 2016, Proceedings. Cham: Springer. Lect. Notes Comput. Sci. 9925, 253-260 (2016).
MSC:  62A01
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An open problem on strongly consistent learning of the best prediction for Gaussian processes. (English) Zbl 1337.60052

Akritas, Michael G. (ed.) et al., Topics in nonparametric statistics. Proceedings of the first conference of the International Society for Nonparametric Statistics, ISNPS, Chalkidiki, Greece, June 15–19, 2012. New York, NY: Springer (ISBN 978-1-4939-0568-3/hbk; 978-1-4939-0569-0/ebook). Springer Proceedings in Mathematics & Statistics 74, 115-136 (2014).
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Application of data compression methods to nonparametric estimation of characteristics of discrete-time stochastic processes. (English. Russian original) Zbl 1213.62058

Probl. Inf. Transm. 43, No. 4, 367-379 (2007); translation from Probl. Peredachi Inf. 43, No. 4, 109-123 (2007).
MSC:  62G05 62M09 94B99
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