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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

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11 papers · 1 filter

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.ME2019★ 1 cited

Robust Causal Inference for Incremental Return on Ad Spend with Randomized Paired Geo Experiments

Aiyou Chen, Timothy C. Au

Evaluating the incremental return on ad spend (iROAS) of a prospective online marketing strategy (i.e., the ratio of the strategy's causal effect on some response metric of interes…