Sparse estimators and the oracle property, or the return of Hodges' estimator

From MaRDI portal
Publication:290948

DOI10.1016/j.jeconom.2007.05.017zbMath1418.62272arXiv0704.1466OpenAlexW2019473361MaRDI QIDQ290948

Hannes Leeb, Benedikt M. Pötscher

Publication date: 3 June 2016

Published in: Journal of Econometrics (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/0704.1466




Related Items

The robust desparsified lasso and the focused information criterion for high-dimensional generalized linear modelsFinite-sample results for lasso and stepwise Neyman-orthogonal Poisson estimatorsAsymptotically efficient estimators for stochastic blockmodels: the naive MLE, the rank-constrained MLE, and the spectral estimatorOn the distribution of penalized maximum likelihood estimators: the LASSO, SCAD, and thresholdingUsing invalid instruments on purpose: focused moment selection and averaging for GMMA Bayesian approach to sparse dynamic network identificationValid post-selection inferenceModerately clipped LassoThe adaptive Lasso in high-dimensional sparse heteroscedastic modelsBridge estimators and the adaptive Lasso under heteroscedasticityShrinkage estimation of dynamic panel data models with interactive fixed effectsA PANEL CLUSTERING APPROACH TO ANALYZING BUBBLE BEHAVIOR\(\ell_1\)-regularization of high-dimensional time-series models with non-Gaussian and heteroskedastic errorsThe costs and benefits of uniformly valid causal inference with high-dimensional nuisance parametersSparse generalized Yule-Walker estimation for large spatio-temporal autoregressions with an application to NO\(_2\) satellite dataAn alternative to synthetic control for models with many covariates under sparsityQuantifying the cost of simultaneous non-parametric approximation of several samplesJump estimation in inverse regressionConfidence sets based on penalized maximum likelihood estimators in Gaussian regressionDistributional results for thresholding estimators in high-dimensional Gaussian regression modelsSHRINKAGE ESTIMATION OF REGRESSION MODELS WITH MULTIPLE STRUCTURAL CHANGESSparse estimation from noisy observations of an overdetermined linear systemOn the residual empirical process based on the ALASSO in high dimensions and its functional oracle propertySelect the valid and relevant moments: an information-based Lasso for GMM with many momentsRobust inference on average treatment effects with possibly more covariates than observationsArCo: an artificial counterfactual approach for high-dimensional panel time-series dataUnnamed ItemUniformly valid post-regularization confidence regions for many functional parameters in z-estimation frameworkSimultaneous multiple non-crossing quantile regression estimation using kernel constraintsLasso Inference for High-Dimensional Time SeriesShrinkage for categorical regressorsAsymptotic properties of the residual bootstrap for Lasso estimatorsEndogeneity in high dimensionsA robust test for network generated dependenceExact adaptive confidence intervals for linear regression coefficientsConsistencies and rates of convergence of jump-penalized least squares estimatorsEvaluation and selection of models for out-of-sample prediction when the sample size is small relative to the complexity of the data-generating processNonconcave penalized inverse regression in single-index models with high dimensional predic\-torsComments on: \(\ell_{1}\)-penalization for mixture regression modelsEstimating heterogeneous graphical models for discrete data with an application to roll call votingQuantile-based portfolios: post-model-selection estimation with alternative specificationsOn the distribution of the adaptive LASSO estimatorTesting Sparsity-Inducing PenaltiesADAPTIVE GMM SHRINKAGE ESTIMATION WITH CONSISTENT MOMENT SELECTIONGENERALIZED ADDITIVE PARTIAL LINEAR MODELS WITH HIGH-DIMENSIONAL COVARIATESValid Post-Selection Inference in High-Dimensional Approximately Sparse Quantile Regression ModelsThe GENIUS approach to robust Mendelian randomization inferenceOn the asymptotic variance of the debiased LassoStatistical inference for normal mixtures with unknown number of componentsOn Hodges' superefficiency and merits of oracle property in model selectionPanel data quantile regression with grouped fixed effectsCovariate selection with group lasso and doubly robust estimation of causal effectsAUTOMATED ESTIMATION OF VECTOR ERROR CORRECTION MODELSThe Risk of James–Stein and Lasso ShrinkageLassoing the Determinants of RetirementConstrained estimation using penalization and MCMC



Cites Work


This page was built for publication: Sparse estimators and the oracle property, or the return of Hodges' estimator