Pages that link to "Item:Q2540916"
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The following pages link to Some results on Tchebycheffian spline functions and stochastic processes (Q2540916):
Displaying 43 items.
- Stochastic dynamic models and Chebyshev splines (Q5175766) (← links)
- (Q5214198) (← links)
- Inversion formulas for the Dunkl-type Segal–Bargmann transform (Q5246271) (← links)
- Analytical and numerical applications for the Fourier multiplier operators on ℝ<sup><i>n</i></sup>× (0, ∞) (Q5264230) (← links)
- Quantile Regression with Left-Truncated and Right-Censored Data in a Reproducing Kernel Hilbert Space (Q5265847) (← links)
- Framework for kernel regularization with application to protein clustering (Q5385850) (← links)
- Operators and Tikhonov regularization on the Fock space (Q5404138) (← links)
- Semiparametric Regression of Multidimensional Genetic Pathway Data: Least‐Squares Kernel Machines and Linear Mixed Models (Q5449906) (← links)
- Soft and hard classification by reproducing kernel Hilbert space methods (Q5460740) (← links)
- Testing for additivity in non‐parametric regression (Q5507368) (← links)
- Testing and estimation in marker‐set association study using semiparametric quantile regression kernel machine (Q5739258) (← links)
- Practical estimation of Volterra filters of arbitrary degree (Q5758316) (← links)
- Algorithm 1023: Restoration of Function by Integrals with Cubic Integral Smoothing Spline in R (Q5865523) (← links)
- Interval estimation for minimal clinically important difference and its classification error via a bootstrap scheme (Q5880037) (← links)
- Interpreting uninterpretable predictors: kernel methods, Shtarkov solutions, and random forests (Q5880100) (← links)
- What are the Most Important Statistical Ideas of the Past 50 Years? (Q5881991) (← links)
- Smoothing noisy data with spline functions (Q5905702) (← links)
- Extended Gauss-Markov theorem for nonparametric mixed-effects models (Q5933446) (← links)
- A Bayesian latent variable approach to functional principal components analysis with binary and count data (Q5963007) (← links)
- Structured sparsity through convex optimization (Q5965303) (← links)
- A quantile‐slicing approach for sufficient dimension reduction with censored responses (Q6067320) (← links)
- A class of dimension-free metrics for the convergence of empirical measures (Q6072907) (← links)
- Gaussian copula function-on-scalar regression in reproducing kernel Hilbert space (Q6074741) (← links)
- Distributed learning for sketched kernel regression (Q6079133) (← links)
- Methods for Scalar‐on‐Function Regression (Q6086488) (← links)
- Random Forests for Spatially Dependent Data (Q6107238) (← links)
- The Geometry of Sparse Analysis Regularization (Q6158006) (← links)
- Measuring Complexity of Learning Schemes Using Hessian-Schatten Total Variation (Q6171683) (← links)
- Bayesian pathway selection (Q6176243) (← links)
- A model-free machine learning method for risk classification and survival probability prediction (Q6537809) (← links)
- Variable selection for non-parametric quantile regression via smoothing spline analysis of variance (Q6537855) (← links)
- Outcome weighted \(\Psi\)-learning for individualized treatment rules (Q6541746) (← links)
- Sparse multiple kernel learning: minimax rates with random projection (Q6541942) (← links)
- Adaptive supervised learning on data streams in reproducing kernel Hilbert spaces with data sparsity constraint (Q6548749) (← links)
- Kernel Cox partially linear regression: building predictive models for cancer patients' survival (Q6560452) (← links)
- Functional linear quantile regression on a two-dimensional domain (Q6565302) (← links)
- Guaranteed Functional Tensor Singular Value Decomposition (Q6567895) (← links)
- Tropical reproducing kernels and optimization (Q6571079) (← links)
- Nonparametric covariance estimation with shrinkage toward stationary models (Q6601108) (← links)
- A weighted kernel machine regression approach to environmental pollutants and infertility (Q6625687) (← links)
- Comment: From Ridge Regression to Methods of Regularization (Q6636564) (← links)
- Non parametric maximin aggregation for data with inhomogeneity (Q6641328) (← links)
- Optimal policy evaluation using kernel-based temporal difference methods (Q6656605) (← links)
