Pages that link to "Item:Q2176616"
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The following pages link to Adaptive risk bounds in univariate total variation denoising and trend filtering (Q2176616):
Displaying 25 items.
- Localising change points in piecewise polynomials of general degrees (Q97720) (← links)
- Frame-constrained total variation regularization for white noise regression (Q820796) (← links)
- On the total variation regularized estimator over a class of tree graphs (Q1711590) (← links)
- Nonparametric shape-restricted regression (Q1730903) (← links)
- Multivariate extensions of isotonic regression and total variation denoising via entire monotonicity and Hardy-Krause variation (Q2039786) (← links)
- Adaptive estimation of multivariate piecewise polynomials and bounded variation functions by optimal decision trees (Q2054517) (← links)
- Prediction bounds for higher order total variation regularized least squares (Q2054527) (← links)
- Tensor denoising with trend filtering (Q2113264) (← links)
- Detecting possibly frequent change-points: wild binary segmentation 2 and steepest-drop model selection (Q2131951) (← links)
- Adaptive risk bounds in univariate total variation denoising and trend filtering (Q2176616) (← links)
- Estimating piecewise monotone signals (Q2180071) (← links)
- Adaptive confidence sets in shape restricted regression (Q2214235) (← links)
- (Q4986379) (← links)
- Logistic regression with total variation regularization (Q5146339) (← links)
- (Q5149046) (← links)
- Sampling rates for \(\ell^1\)-synthesis (Q6142336) (← links)
- A cross-validation framework for signal denoising with applications to trend filtering, dyadic CART and beyond (Q6183749) (← links)
- Optimal change-point detection and localization (Q6183751) (← links)
- Quantile regression by dyadic CART (Q6200907) (← links)
- Modeling swine population dynamics at a finer temporal resolution (Q6578169) (← links)
- MARS via lasso (Q6608682) (← links)
- Element-wise estimation error of generalized Fused Lasso (Q6635710) (← links)
- Moving Sum Procedure for Change Point Detection under Piecewise Linearity (Q6637461) (← links)
- Multivariate trend filtering for lattice data (Q6656626) (← links)
- Empirical priors and posterior concentration in a piecewise polynomial sequence model (Q6671915) (← links)
