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We study asymptotically normal estimation and confidence regions for low-dimensional parameters in high-dimensional sparse models.
Generalized linear models
McCullagh, P. and Nelder, J. A. (1989) · 1989
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Controlling the false discovery rate: a practical and powerful approach to multiple testing
Benjamini, Y. and Hochberg, Y. (1995) · 1995
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Weak Convergence and Empirical Processes
van der Vaart, A. W. and Wellner, J. A. (1996) · 1996
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Asymptotics for lasso-type estimators
Knight, K. and Fu, W. (2000) · 2000
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Asymptotic statistics
van der Vaart, A. (2000) · 2000
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High-dimensional graphs and variable selection with the lasso
Meinshausen, N. and Bühlmann, P. (2006) · 2006
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Model selection and estimation in the gaussian graphical model
Yuan, M. and Lin, Y. (2007) · 2007
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Sparse inverse covariance estimation with the graphical lasso
Friedman, J., Hastie, T., and Tibshirani, R. (2008) · 2008
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Square-Root Lasso: Pivotal Recovery of Sparse Signals via Conic Programming
Belloni, A., Chernozhukov, V., and Wang, L. (2011) · 2011
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Statistics for high-dimensional data
Bühlmann, P. and van de Geer, S. (2011) · 2011
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Confidence sets in sparse regression
Nickl, R. and van de Geer, S. (2012) · 2012
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Rates of convergence of the adaptive LASSO estimators to the oracle distribution and higher order refinements by the bootstrap
Chatterjee, A. and Lahiri, S. N. (2013) · 2013
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Confidence intervals for high-dimensional inverse covariance estimation
Janková, J. and van de Geer, S. (2014) · 2014
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Confidence intervals and hypothesis testing for high-dimensional regression
Javanmard, A. and Montanari, A. (2014) · 2014
Worst possible sub-directions in high-dimensional models
van de Geer, S. (2014) · 2014
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On asymptotically optimal confidence regions and tests for high-dimensional models
van de Geer, S., Bühlmann, P., Ritov, Y., and Dezeure, R. (2014) · 2014
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Confidence intervals for low-dimensional parameters in high-dimensional linear models
Zhang, C.-H. and Zhang, S. S. (2014) · 2014
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Uniform Post Selection Inference for LAD Regression and Other Z-estimation problems
Belloni, A., Chernozhukov, V., and Kato, K. (2015) · 2015
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Valid Post-Selection and Post-Regularization Inference: An Elementary, General Approach
Chernozhukov, V., Hansen, C., and Spindler, M. (2015) · 2015
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Confidence intervals and hypothesis testing for high-dimensional regression
Javanmard, A. and Montanari, A. (2014) · 2014
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Honest confidence regions and optimality for high-dimensional precision matrix estimation
Janková, J. and van de Geer, S. (2016) · 2016
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χ 2 \chi^{2} -Confidence Sets in High-Dimensional Regression
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