Preprints

Gradient-Guided Density Peak Clustering

Yikun Zhang, Yen-Chi Chen
Published 10/1/2026
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Imputation is all you need: double robustness, semiparametric efficiency, and automatic covariate balance for estimating the average treatment effect

Fang Han, Peng Ding
Published 9/29/2026
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Statistical Inference for Bivariate Functional Causal Discovery

Shreya Prakash, Fan Xia, Elena A. Erosheva
Published 9/14/2026
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Generative bootstrap processes

Ziming Lin, Fang Han
Published 9/11/2026
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On efficiency gains via augmenting a tiny sample with a massive auxiliary sample

Yen-Chi Chen
Published 8/27/2026
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Efficient Bayesian Inference for Benter Models on Ranked Data

Michael Pearce
Published 8/24/2026
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Can statistical models capture Mamdani's success? Social choice, ranked-choice voting, and model fit, with an application to the 2025 New York City Democratic Primary

Michael Pearce, Erin R. Lipman, Christopher Adolph, Elena A. Erosheva
Published 8/24/2026
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Expert-Guided g-computation with Large Language Models for Estimating Causal Effects on Timings: Applications to Hospital Quality Improvement

Patrick Vossler, Jialin Ouyang, F. Richard Guo, Anran Huang, Ali Shojaie, Lucas Zier, Fan Xia, Jean Feng
Published 8/10/2026
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The Debiased Score Test: Hunt-and-test for Semiparametric Hypotheses

Aditya Dhawan, F. Richard Guo, Rajen D. Shah
Published 7/30/2026
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Characterizing and Identifying Separable Graphical Models

Christopher Meek, Kayvan Sadeghi
Published 7/1/2026
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When Surveys Become Conversations: Adaptive Matrix Validation for AI-Assisted Interviews

Tyler H. McCormick
Published 6/23/2026
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Limit theorems of Azadkia-Chatterjee's conditional graph correlation

Muhong Gao, Fang Han, Qizhai Li
Published 6/13/2026
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ImageAuditor: Membership Inference Attack against Image-based Retrieval-Augmented Generation

Jinghuai Zhang, Pengyue Yu, Zhexiao Lin, Kunlin Cai, Fnu Suya, Yuan Tian
Published 6/2/2026
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Statistical Inference on Gradient Flows

Tongyu Li, Alexander Giessing
Published 5/31/2026
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Position: Prioritize Identifying Structure, Not Complex Models, for Scientific Discovery

Tyler H. McCormick
Published 5/30/2026
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Rashomon-Seeded Annealing for Robust Bayesian Inference in Factorial Designs

Yiyang Fan, Soumyakanti Pan, Tyler H. McCormick
Published 5/21/2026
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Nearest-Neighbor Radii under Dependent Sampling

Yuanyuan Gao, Yilong Hou, Zhexiao Lin
Published 5/14/2026
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An Object-Oriented Spatial Statistics Approach for Human Activity Space Estimation

Haoyang Wu, Yen-Chi Chen, Adrian Dobra
Published 5/8/2026
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Limiting spectral distributions of large consistent rank correlation matrices

Zhaorui Dong, Fang Han, Jianfeng Yao
Published 4/29/2026
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Bootstrap consistency for general double/debiased machine learning estimators

Ziming Lin, Fang Han
Published 4/18/2026
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The Epidemiology of Artificial Intelligence

Harsh Parikh, Tyler McCormick, Emily Johnson, Leo Hickey, Megan Ranney, Bhramar Mukherjee
Published 4/15/2026
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Inference conditional on selection: a review

Anna Neufeld, Ronan Perry, Daniela Witten
Published 4/10/2026
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UQ-SHRED: uncertainty quantification of shallow recurrent decoder networks for sparse sensing via engression

Mars Liyao Gao, Yuxuan Bao, Amy S. Rude, Xinwei Shen, J. Nathan Kutz
Published 4/1/2026
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Pair-based estimators of infection and removal rates for stochastic epidemic models

Seth D. Temple, Jonathan Terhorst
Published 3/23/2026
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REALITrees: Rashomon Ensemble Active Learning for Interpretable Trees

Simon D. Nguyen, Hayden McTavish, Kentaro Hoffman, Cynthia Rudin, Tyler H. McCormick
Published 3/23/2026
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