scientific article; zbMATH DE number 7370628
From MaRDI portal
Publication:4999080
Steven Siwei Ye, Oscar-Hernan Madrid-Padilla
Publication date: 9 July 2021
Full work available at URL: https://arxiv.org/abs/2012.01758
Title: zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Related Items (1)
Uses Software
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Distributed Optimization and Statistical Learning via the Alternating Direction Method of Multipliers
- Nonlinear total variation based noise removal algorithms
- Multidimensional divide-and-conquer
- Degrees of freedom in lasso problems
- On total variation minimization and surface evolution using parametric maximum flows
- Asymptotics for M-type smoothing splines
- Estimating the dimension of a model
- Locally adaptive regression splines
- Sparse spatial autoregressions
- Baseline drift estimation for air quality data using quantile trend filtering
- Conditional quantile processes based on series or many regressors
- \(\ell_1\)-penalized quantile regression in high-dimensional sparse models
- Local quantile regression
- Adaptive piecewise polynomial estimation via trend filtering
- Adaptive robust variable selection
- Coordinate descent algorithms for lasso penalized regression
- Hitting and commute times in large graphs are often misleading
- Convergence rate of b-spline estimators of nonparametric conditional quantile functions∗
- $\ell_1$ Trend Filtering
- Local Linear Quantile Regression
- On Computing Robust Splines and Applications
- Regression Quantiles
- Bivariate Quantile Smoothing Splines
- Quantile smoothing splines
- A Faster Algorithm Solving a Generalization of Isotonic Median Regression and a Class of Fused Lasso Problems
- High-Dimensional Probability
- The Generic Chaining
- Sparsity and Smoothness Via the Fused Lasso
- Adaptive nonparametric regression with the K-nearest neighbour fused lasso
- Nonparametric Quantile Estimations for Dynamic Smooth Coefficient Models
- Bayesian quantile regression
This page was built for publication:
