Nearest neighbor forecasting using sparse data representation
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Publication:2080638
DOI10.1007/978-3-030-84721-0_38zbMath1496.62163OpenAlexW4242666872MaRDI QIDQ2080638
Dimitrios Vlachos, Dimitrios D. Thomakos
Publication date: 9 October 2022
Full work available at URL: https://doi.org/10.1007/978-3-030-84721-0_38
Applications of statistics to economics (62P20) Inference from stochastic processes and prediction (62M20) Classification and discrimination; cluster analysis (statistical aspects) (62H30) Artificial neural networks and deep learning (68T07)
Uses Software
Cites Work
- Classification in general finite dimensional spaces with the \(k\)-nearest neighbor rule
- Fuzzy-rough nearest neighbour classification and prediction
- On a class of stopping times for M-estimators
- Weak convergence of \(k\)-NN density and regression estimators with varying \(k\) and applications
- On the non-consistency of an estimate of Chiu
- Necessary and sufficient conditions for the pointwise convergence of nearest neighbor regression function estimates
- The uniform convergence of nearest neighbor regression function estimators and their application in optimization
- Explaining the Success of Nearest Neighbor Methods in Prediction
- Distance-based nearest neighbour forecasting with application to exchange rate predictability
- Continuous Online Sequence Learning with an Unsupervised Neural Network Model
- Nearest neighbor pattern classification
- Estimation by the nearest neighbor rule
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