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stat.ME2013★ 676 cited
Confidence Intervals and Hypothesis Testing for High-Dimensional Regression
Adel Javanmard, Andrea Montanari
Fitting high-dimensional statistical models often requires the use of non-linear parameter estimation procedures. As a consequence, it is generally impossible to obtain an exact ch…
stat.ME2013
Hypothesis Testing in High-Dimensional Regression under the Gaussian Random Design Model: Asymptotic Theory
Adel Javanmard, Andrea Montanari
We consider linear regression in the high-dimensional regime where the number of observations is smaller than the number of parameters . A very successful approach in this s…