scientific article; zbMATH DE number 7164711
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Publication:5214199
zbMath1434.62151arXiv1805.03719MaRDI QIDQ5214199
Abhishek Kaul, Stergios B. Fotopoulos, Venkata K. Jandhyala
Publication date: 7 February 2020
Full work available at URL: https://arxiv.org/abs/1805.03719
Title: zbMATH Open Web Interface contents unavailable due to conflicting licenses.
rate of convergencehigh-dimensional modelschange-point regressiontwo-phase regression\(\ell_1/\ell_0\)-regularization
Estimation in multivariate analysis (62H12) Ridge regression; shrinkage estimators (Lasso) (62J07) Linear regression; mixed models (62J05)
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Cites Work
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- Wild binary segmentation for multiple change-point detection
- Weighted \(\ell_1\)-penalized corrected quantile regression for high dimensional measurement error models
- Statistics for high-dimensional data. Methods, theory and applications.
- High-dimensional regression with noisy and missing data: provable guarantees with nonconvexity
- Model selection by LASSO methods in a change-point model
- Simultaneous change point analysis and variable selection in a regression problem
- Exact asymptotic distribution of change-point MLE for change in the mean of Gaussian se\-quences
- A data-driven software tool for enabling cooperative information sharing among police departments
- Asymptotics of maximum likelihood estimator in a two-phase linear regression model
- Lasso with long memory regression errors
- Simultaneous analysis of Lasso and Dantzig selector
- Asymptotics of M-estimators in two-phase linear regression models.
- Inference for single and multiple change-points in time series
- Reconstruction From Anisotropic Random Measurements
- Square-root lasso: pivotal recovery of sparse signals via conic programming
- Capturing the distributional behaviour of the maximum likelihood estimator of a changepoint
- Oracle Estimation of a Change Point in High-Dimensional Quantile Regression
- Multiple Change-Points Estimation in Linear Regression Models via Sparse Group Lasso
- High Dimensional Change Point Estimation via Sparse Projection
- Regression Shrinkage and Selection via The Lasso: A Retrospective
- Convex Optimization, Shape Constraints, Compound Decisions, and Empirical Bayes Rules
- Minimax Rates of Estimation for High-Dimensional Linear Regression Over $\ell_q$-Balls
- Multiple-Change-Point Detection for High Dimensional Time Series via Sparsified Binary Segmentation
- Inference about the intersection in two-phase regression
- Inference about the change-point in a sequence of random variables
- Time-ordered classification
- The Lasso for High Dimensional Regression with a Possible Change Point
- Linear and Conic Programming Estimators in High Dimensional Errors-in-variables Models
- Probability
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