Pages that link to "Item:Q3455811"
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The following pages link to Efficient computation of smoothing splines via adaptive basis sampling (Q3455811):
Displaying 16 items.
- Efficient estimation of variance components in nonparametric mixed-effects models with large samples (Q341156) (← links)
- Smoothing spline ANOVA for super-large samples: scalable computation via rounding parameters (Q1747602) (← links)
- Large dynamic covariance matrix estimation with an application to portfolio allocation: a semiparametric reproducing kernel Hilbert space approach (Q2674937) (← links)
- Divide and Recombine Approaches for Fitting Smoothing Spline Models with Large Datasets (Q3391108) (← links)
- Adaptive Basis Selection for Exponential Family Smoothing Splines with Application in Joint Modeling of Multiple Sequencing Samples (Q4601252) (← links)
- Smoothing Splines Approximation Using Hilbert Curve Basis Selection (Q5057090) (← links)
- More efficient approximation of smoothing splines via space-filling basis selection (Q5127216) (← links)
- Low-rank approximation for smoothing spline via eigensystem truncation (Q6541765) (← links)
- Efficient basis selection for smoothing splines via rotated lattices (Q6548830) (← links)
- A review on design inspired subsampling for big data (Q6549149) (← links)
- Deterministic subsampling for logistic regression with massive data (Q6567421) (← links)
- A distance metric-based space-filling subsampling method for nonparametric models (Q6595793) (← links)
- A nonparametric mixed-effects mixture model for patterns of clinical measurements associated with COVID-19 (Q6616344) (← links)
- Minimax nonparametric multi-sample test under smoothing (Q6621325) (← links)
- A Subsampling Method for Regression Problems Based on Minimum Energy Criterion (Q6631125) (← links)
- Core-elements for large-scale least squares estimation (Q6643225) (← links)
