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Publications by Peter Exterkate
Model Selection in Kernel Ridge Regression
Computational Statistics and Data Analysis
Statistics
Probability
Applied Mathematics
Computational Theory
Computational Mathematics
Mathematics
Forecasting the Yield Curve in a Data-Rich Environment Using the Factor-Augmented Nelson-Siegel Model
SSRN Electronic Journal
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Risk Convergence of Centered Kernel Ridge Regression With Large Dimensional Data
Adaptable Ridge Regression Estimation for Sure Model
Applied Mathematical Sciences
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International Journal of Trend in Scientific Research and Development
Consistent Model Selection in Segmented Line Regression
Journal of Statistical Planning and Inference
Uncertainty
Applied Mathematics
Statistics
Probability
Unsupervised Feature Selection Based on Kernel Fisher Discriminant Analysis and Regression Learning
Machine Learning
Artificial Intelligence
Software
Confidence Intervals Based on Resampling Methods Using Ridge Estimator in Linear Regression Model
New Trends in Mathematical Science
Kernel Regression Based Machine Translation
Model Selection for High Dimensional Quadratic Regression via Regularization
Journal of the American Statistical Association
Uncertainty
Statistics
Probability
Variable Selection in Count Data Regression Model Based on Firefly Algorithm
Statistics, Optimization and Information Computing
Control
Information Systems
Pattern Recognition
Probability
Uncertainty
Computer Vision
Optimization
Statistics
Signal Processing
Artificial Intelligence