EOS
Submitted
U. Schneider and P. Tardivel, The Geometry of Uniqueness, Sparsity and Clustering in Penalized Estimation arXiv:2004.09106.
Journal Articles
- N. Amann and U. Schneider, Uniform Asymptotics and Confidence Regions Based on the Adaptive Lasso with Partially Consistent Tuning, to appear in Econometric Theory.
- K. Ewald and U. Schneider, On the Distribution, Model Selection Properties and Uniqueness of the Lasso Estimator in Low and High Dimensions Electronic Journal of Statistics 14 (2020), 944-969.
K. Ewald and U. Schneider, Uniformly Valid Confidence Sets Based on the Lasso Electronic Journal of Statistics 12 (2018), 1358-1387.
U. Schneider, Confidence Sets Based on Thresholding Estimators in High-Dimensional Gaussian Regression Econometric Reviews 35 (2016), 1412-1455.
U. Schneider and M. Wagner, Catching Growth Determinants with the Adaptive LASSO German Economic Review 13 (2012), 71-85.
B.M. Pötscher and U. Schneider, Distributional Results for Thresholding Estimators in High-Dimensional Gaussian Regression Models Electronic Journal of Statistics 5 (2011), 1876-1934.
U. Schneider, A Tabu Search Tutorial Based on a Real-World Scheduling Problem Central European Journal of Operations Research 19 (2011), 467-493.
B.M. Pötscher and U. Schneider, Confidence Sets Based on Penalized Maximum Likelihood Estimators Electronic Journal of Statistics 4 (2010) 334-360.
A. You, U. Schneider, A. Guillou, and P. Naveau, Improving Extreme Quantile Estimation Via a Folding Procedure Journal of Statistical Planning and Inference 140 (2010) 1775-1787.
B.M. Pötscher and U. Schneider, On the Distribution of the Adaptive LASSO Estimator Journal of Statistical Planning and Inference 139 (2009) 2775-2790.
J.N. Corcoran, U. Schneider, and H.-B. Schüttler, Perfect Stochastic Summation in High Order Feynman Graph Expansions International Journal of Modern Physics C 17 (2006) 1527-1549.
J.N. Corcoran and U. Schneider, Pseudo-Perfect and Adaptive Variants of the Metropolis-Hastings Algorithm with an Independent Candidate Density Journal of Statistical Computation and Simulation 75 (2005) 459-475.
U. Schneider and J.N. Corcoran, Perfect Sampling for Bayesian Variable Selection in a Linear Regression Model Journal of Statistical Planning and Inference 126 (2004) 153-171.
J.N. Corcoran and U. Schneider, Shift and Scale Coupling Methods for Perfect Simulation Probability in the Engineering and Informational Sciences 17 (2003) 277-303.
Bookchapter
E. Gilleland, D. Nychka, and U. Schneider, Spatial Models for the Distribution of Extremes Computational Statistics: Hierarchical Bayes and MCMC Methods in the Environmental Sciences, edited by J.S. Clark and A. Gelfand, Oxford University Press, 2006.