Uniform Asymptotic Inference and the Bootstrap After Model Selection

Recently, Taylor et al. (2014) developed a method for making inferences on parameters after model selection. In this work, we explore the large sample properties of this method. We present results about the uniform convergence of the test statistic proposed by Taylor et al. (2014), and we propose computationally efficient bootstrap version of the method.