Pages that link to "Item:Q638794"

The following pages link to The solution path of the generalized lasso (Q638794):

Displaying 50 items.

• Estimator of prediction error based on approximate message passing for penalized linear regression (Q4964647) (← links)
• (Q4969177) (← links)
• (Q4969206) (← links)
• A Generalized Least-Square Matrix Decomposition (Q4975339) (← links)
• A Generic Path Algorithm for Regularized Statistical Estimation (Q4975409) (← links)
• A Sparse Learning Approach to Relative-Volatility-Managed Portfolio Selection (Q4988547) (← links)
• (Q4998944) (← links)
• Graph-Based Regularization for Regression Problems with Alignment and Highly Correlated Designs (Q5027037) (← links)
• Improvement on LASSO-type estimator in nonparametric regression (Q5051335) (← links)
• Frank--Wolfe Methods with an Unbounded Feasible Region and Applications to Structured Learning (Q5055686) (← links)
• Data Aggregation and Demand Prediction (Q5058026) (← links)
• Parameter choices for sparse regularization with the ℓ1 norm ^* (Q5060748) (← links)
• Flexible and Fast Spatial Return Level Estimation Via a Spatially Fused Penalty (Q5066495) (← links)
• Coordinate optimization for generalized fused Lasso (Q5079187) (← links)
• Estimating functions and derivatives via adaptive penalized splines (Q5082677) (← links)
• <i>L</i> 1-Regularization Path Algorithm for Generalized Linear Models (Q5088192) (← links)
• Divided Differences, Falling Factorials, and Discrete Splines: Another Look at Trend Filtering and Related Problems (Q5102287) (← links)
• Regularized boxplot via convex clustering (Q5107387) (← links)
• A modified information criterion for tuning parameter selection in 1d fused LASSO for inference on multiple change points (Q5107787) (← links)
• Solution uniqueness of convex piecewise affine functions based optimization with applications to constrained <i>ℓ</i>₁ minimization (Q5107961) (← links)
• Estimating the Effects of Fine Particulate Matter on 432 Cardiovascular Diseases Using Multi-Outcome Regression With Tree-Structured Shrinkage (Q5146019) (← links)
• (Q5149011) (← links)
• Dynamic Tensor Clustering (Q5208093) (← links)
• Excess Optimism: How Biased is the Apparent Error of an Estimator Tuned by SURE? (Q5231498) (← links)
• Solution paths of variational regularization methods for inverse problems (Q5236689) (← links)
• Convex biclustering (Q5347398) (← links)
• Brain Regions Identified as Being Associated With Verbal Reasoning Through the Use of Imaging Regression via Internal Variation (Q5857135) (← links)
• Time varying mixed effects model with fused lasso regularization (Q5861615) (← links)
• Rapid detection of hot-spots via tensor decomposition with applications to crime rate data (Q5865400) (← links)
• A novel regularization method for estimation and variable selection in multi-index models (Q5866048) (← links)
• Bilevel Methods for Image Reconstruction (Q5870782) (← links)
• Penalized Estimation of Frailty-Based Illness–Death Models for Semi-Competing Risks (Q6055738) (← links)
• Group structure detection for a high‐dimensional panel data model (Q6059399) (← links)
• Graphon estimation via nearest‐neighbour algorithm and two‐dimensional fused‐lasso denoising (Q6059433) (← links)
• Connectivity‐informed adaptive regularization for generalized outcomes (Q6059500) (← links)
• (Q6073208) (← links)
• (Q6073211) (← links)
• Uncovering block structures in large rectangular matrices (Q6074727) (← links)
• Bayesian compositional regression with structured priors for microbiome feature selection (Q6076494) (← links)
• Poststratification fusion learning in longitudinal data analysis (Q6076503) (← links)
• Simultaneous spatial smoothing and outlier detection using penalized regression, with application to childhood obesity surveillance from electronic health records (Q6079348) (← links)
• Identifying Brain Hierarchical Structures Associated with Alzheimer's Disease Using a Regularized Regression Method with Tree Predictors (Q6079719) (← links)
• A variable projection method for large-scale inverse problems with \(\ell^1\) regularization (Q6086881) (← links)
• Fast and locally adaptive Bayesian quantile smoothing using calibrated variational approximations (Q6089226) (← links)
• Path algorithms for fused lasso signal approximator with application to COVID‐19 spread in Korea (Q6089887) (← links)
• A new active zero set descent algorithm for least absolute deviation with generalized LASSO penalty (Q6101007) (← links)
• Identification of microbial features in multivariate regression under false discovery rate control (Q6113732) (← links)
• Accelerate the warm-up stage in the Lasso computation via a homotopic approach (Q6115541) (← links)
• Hedonic pricing modelling with unstructured predictors: an application to Italian fashion industry (Q6120618) (← links)
• Sparse Bayesian learning with automatic-weighting Laplace priors for sparse signal recovery (Q6148403) (← links)