With the growing prevalence of streaming data, renewable estimation has become an important tool for updating statistical analyses without retaining historical raw observations. We study estimation and linear hypothesis testing in high-dimensional online M-estimation. Existing renewable procedures based on quadratic ap...
In this paper, we study nonparametric inference for the causal dose-response curve of a continuous-treatment under unmeasured confounding by leveraging treatment- and outcome-inducing confounding proxies. To estimate the curve, we introduce a novel proximal doubly robust pseudo-outcome whose conditional mean given trea...
An information-theoretic lower bound is derived that captures the minimum cost of achieving prescribed testing errors and characterizes the value of AI information and human verification through a report-dependent information frontier.
D. Ham, Xue-Jun Zhao, S. Jasin et al.· 0 citations
Randomized experiments have become the standard method for companies to evaluate the performance of new products or services. Beyond aiding managerial decision making, experiments mitigate risk by limiting the proportion of customers exposed to innovations. Because many experiments are conducted sequentially over time,...
D. Ham, Michael Lindon, M. Tingley et al.· Management Sciences· 2 citations
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