23 citations · 81 across the 5 of their papers we have counts for
5 papers
Why Adaptively Collected Data Have Negative Bias and How to Correct for It
Xinkun Nie, Xiaoying Tian, Jonathan Taylor +1
From scientific experiments to online A/B testing, the previously observed data often affects how future experiments are performed, which in turn affects which data will be collect…
MAGIC: a general, powerful and tractable method for selective inference
Xiaoying Tian, Nan Bi, Jonathan Taylor
Selective inference is a recent research topic that tries to perform valid inference after using the data to select a reasonable statistical model. We propose MAGIC, a new method f…
Selective inference with a randomized response
Xiaoying Tian, Jonathan E. Taylor
Inspired by sample splitting and the reusable holdout introduced in the field of differential privacy, we consider selective inference with a randomized response. We discuss two ma…
Selective inference with unknown variance via the square-root LASSO
Xiaoying Tian, Joshua R. Loftus, Jonathan E. Taylor
There has been much recent work on inference after model selection when the noise level is known, however, is rarely known in practice and its estimation is difficult in high-d…
Asymptotics of selective inference
Xiaoying Tian, Jonathan Taylor
In this paper, we seek to establish asymptotic results for selective inference procedures removing the assumption of Gaussianity. The class of selection procedures we consider are…