An open Problem on Strongly Consistent Learning of the Best Prediction for Gaussian Processes

Research output: Chapter in Book/Report/Conference proceeding › Chapter

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Original language	English
Title of host publication	Topics in Nonparametric Statistics
Subtitle of host publication	Proceedings of the First Conference of the International Society for Nonparametric Statistics
Editors	Michael G Akritas, S N Lahiri, Dimitris N Politis
Publisher	Springer-Verlag
Chapter	12
Pages	115-136
Number of pages	22
ISBN (Electronic)	978-1-4939-0569-0
ISBN (Print)	978-1-4939-4581-8 , 978-1-4939-0568-3
DOIs	https://doi.org/10.1007/978-1-4939-0569-0_12
Publication status	Published - 2014

Access to Document

Györfi, L., & Sancetta, A. (2014). An open Problem on Strongly Consistent Learning of the Best Prediction for Gaussian Processes. In M. G. Akritas, S. N. Lahiri, & D. N. Politis (Eds.), Topics in Nonparametric Statistics: Proceedings of the First Conference of the International Society for Nonparametric Statistics (pp. 115-136). Springer-Verlag. https://doi.org/10.1007/978-1-4939-0569-0_12

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title = "An open Problem on Strongly Consistent Learning of the Best Prediction for Gaussian Processes",

author = "L{\'a}szl{\'o} Gy{\"o}rfi and Alessio Sancetta",

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Györfi, L & Sancetta, A 2014, An open Problem on Strongly Consistent Learning of the Best Prediction for Gaussian Processes. in MG Akritas, SN Lahiri & DN Politis (eds), Topics in Nonparametric Statistics: Proceedings of the First Conference of the International Society for Nonparametric Statistics. Springer-Verlag, pp. 115-136. https://doi.org/10.1007/978-1-4939-0569-0_12

An open Problem on Strongly Consistent Learning of the Best Prediction for Gaussian Processes. / Györfi, László; Sancetta, Alessio.
Topics in Nonparametric Statistics: Proceedings of the First Conference of the International Society for Nonparametric Statistics. ed. / Michael G Akritas; S N Lahiri; Dimitris N Politis. Springer-Verlag, 2014. p. 115-136.

Research output: Chapter in Book/Report/Conference proceeding › Chapter

TY - CHAP

T1 - An open Problem on Strongly Consistent Learning of the Best Prediction for Gaussian Processes

AU - Györfi, László

AU - Sancetta, Alessio

PY - 2014

Y1 - 2014

U2 - 10.1007/978-1-4939-0569-0_12

DO - 10.1007/978-1-4939-0569-0_12

M3 - Chapter

SN - 978-1-4939-4581-8

SN - 978-1-4939-0568-3

SP - 115

EP - 136

BT - Topics in Nonparametric Statistics

A2 - Akritas, Michael G

A2 - Lahiri, S N

A2 - Politis, Dimitris N

PB - Springer-Verlag

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