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High-dimensional simultaneous inference with the bootstrap
TEST, no. 4 (2017): 685-719
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We propose a residual and wild bootstrap methodology for individual and simultaneous inference in high-dimensional linear models with possibly non-Gaussian and heteroscedastic errors. We establish asymptotic consistency for simultaneous inference for parameters in groups , where , and , with the number of variables, the sample size and...更多
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