Integrative methods for post-selection inference under convex constraints Page 1 The Annals
of Statistics 2021, Vol. 49, No. 5, 2803–2824 https://doi.org/10.1214/21-AOS2057 © Institute of …

Valid inference after model selection is currently a very active area of research. The
polyhedral method, introduced in an article by Lee et al., allows for valid inference after …

Several strategies have been developed recently to ensure valid inference after model
selection; some of these are easy to compute, while others fare better in terms of inferential …

We investigate a class of methods for selective inference that condition on a selection event.
Such methods follow a two-stage process. First, a data-driven collection of hypotheses is …

Integrative analyses based on statistically relevant associations between genomics and a
wealth of intermediary phenotypes (such as imaging) provide vital insights into their clinical …

We show that two popular selective inference procedures, namely data carving (Fithian et
al., 2017) and selection with a randomized response (Tian and Taylor, 2018), when …

Neighborhood selection is a widely used method used for estimating the support set of
sparse precision matrices, which helps determine the conditional dependence structure in …

We show that two popular selective inference procedures, namely data carving (Fithian et
al., 2017) and selection with a randomized response (Tian et al., 2018b), when combined …