activity
20122025
most citedExact post-selection inference, with application to the lasso

511 citations · 756 across the 8 of their papers we have counts for

collaborators

8 papers

stat.CO2025

A Grammar of Data Analysis

Xunmo Yang, Taylor Pospisil, Omkar Muralidharan +1

This paper outlines a grammar of data analysis, as distinct from grammars of data manipulation, in which the primitives are metrics and dimensions. We describe a Python implementat…

stat.ME2024

Empirical Bayes estimation via data fission

Nikolaos Ignatiadis, Dennis L. Sun

We demonstrate how data fission, a method for creating synthetic replicates from single observations, can be applied to empirical Bayes estimation. This extends recent work on empi…

stat.ME2019

Empirical Bayes mean estimation with nonparametric errors via order statistic regression on replicated data

Nikolaos Ignatiadis, Sujayam Saha, Dennis L. Sun +1

We study empirical Bayes estimation of the effect sizes of units from noisy observations on each unit. We show that it is possible to achieve near-Bayes optimal mean square…

stat.CO2019★ 1 cited

salmon: A Symbolic Linear Regression Package for Python

Alex Boyd, Dennis L. Sun

One of the most attractive features of R is its linear modeling capabilities. We describe a Python package, salmon, that brings the best of R's linear modeling functionality to Pyt…

stat.AP2014★ 1 cited

Peer assessment enhances student learning

Dennis L. Sun, Naftali Harris, Guenther Walther +1

Feedback has a powerful influence on learning, but it is also expensive to provide. In large classes, it may even be impossible for instructors to provide individualized feedback.…

math.ST2014★ 225 cited

Optimal Inference After Model Selection

William Fithian, Dennis Sun, Jonathan Taylor

To perform inference after model selection, we propose controlling the selective type I error; i.e., the error rate of a test given that it was performed. By doing so, we recover l…