Learning from dependent observations
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References listed on IDEAS
- Irle, A., 1997. "On Consistency in Nonparametric Estimation under Mixing Conditions," Journal of Multivariate Analysis, Elsevier, vol. 60(1), pages 123-147, January.
- Bartlett, Peter L. & Jordan, Michael I. & McAuliffe, Jon D., 2006. "Convexity, Classification, and Risk Bounds," Journal of the American Statistical Association, American Statistical Association, vol. 101, pages 138-156, March.
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Cited by:
- Alquier Pierre & Li Xiaoyin & Wintenberger Olivier, 2014.
"Prediction of time series by statistical learning: general losses and fast rates,"
Dependence Modeling, De Gruyter, vol. 1(2013), pages 65-93, January.
- Alquier Pierre & Li Xiaoyin & Wintenberger Olivier, 2013. "Prediction of time series by statistical learning: general losses and fast rates," Dependence Modeling, De Gruyter, vol. 1(2013), pages 65-93, January.
- Katharina Strohriegl & Robert Hable, 2016. "Qualitative robustness of estimators on stochastic processes," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 79(8), pages 895-917, November.
- Alquier Pierre & Doukhan Paul & Fan Xiequan, 2019. "Exponential inequalities for nonstationary Markov chains," Dependence Modeling, De Gruyter, vol. 7(1), pages 150-168, January.
- Liu, Lu & Huang, Wei & Shen, Li, 2021. "Learning performance of regularized regression with multiscale kernels based on Markov observations," Applied Mathematics and Computation, Elsevier, vol. 409(C).
- Arrieta-Prieto, Mario & Schell, Kristen R., 2022. "Spatio-temporal probabilistic forecasting of wind power for multiple farms: A copula-based hybrid model," International Journal of Forecasting, Elsevier, vol. 38(1), pages 300-320.
- Hang, H. & Steinwart, I., 2014. "Fast learning from α-mixing observations," Journal of Multivariate Analysis, Elsevier, vol. 127(C), pages 184-199.
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More about this item
Keywords
primary; 68T05 (1985) secondary; 62G08 (2000); 62H30 (1973); 62M45 (2000); 68Q32 (2000) Support vector machine Consistency Non-stationary mixing process Classification Regression;All these keywords.
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