activity
20072026
most citedPseudo-likelihood methods for community detection in large sparse networks

260 citations · 591 across the 16 of their papers we have counts for

collaborators

16 papers

stat.ME2026

Confidence Intervals for Rate Estimation with Importance Sampling in Autonomous Vehicle Evaluation

Aiyou Chen, Ruixuan Rachel Zhou, Joseph J. Lee +2

Accounting for both rare events and complex sampling presents challenges when quantifying uncertainty for rate estimation in autonomous vehicle performance evaluation. In this pape…

stat.ME2023★ 1 cited

Behavioral event detection and rate estimation for autonomous vehicle evaluation

Maria A. Terres, Aiyou Chen, Ruixuan Rachel Zhou +1

Autonomous vehicles are continually increasing their presence on public roads. However, before any new autonomous driving software can be approved, it must first undergo a rigorous…

stat.ME2023

Supergeo Design: Generalized Matching for Geographic Experiments

Aiyou Chen, Nick Doudchenko, Shunhua Jiang +2

We propose a generalization of the standard matched pairs design in which experimental units (often geographic regions or geos) may be combined into larger units/regions called "su…

stat.ME2021★ 9 cited

Semiparametric Estimation of Treatment Effects in Randomized Experiments

Susan Athey, Peter J. Bickel, Aiyou Chen +2

We develop new semiparametric methods for estimating treatment effects. We focus on settings where the outcome distributions may be thick tailed, where treatment effects may be sma…

stat.ME2021★ 1 cited

Trimmed Match Design for Randomized Paired Geo Experiments

Aiyou Chen, Marco Longfils, Nicolas Remy

How to measure the incremental Return On Ad Spend (iROAS) is a fundamental problem for the online advertising industry. A standard modern tool is to run randomized geo experiments,…

stat.AP2021

Towards Understanding the COVID-19 Case Fatality Rate

Donghui Yan, Aiyou Chen, Buqing Yang

An important parameter for COVID-19 is the case fatality rate (CFR). It has been applied to wide applications, including the measure of the severity of the infection, the estimatio…