most citedStatistical Inference for Genetic Relatedness Based on High-Dimensional Logistic Regression

1 citations · 1 across the 4 of their papers we have counts for

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5 papers

math.ST2026

Exact Asymptotic Efficiency under zCDP: Diameter-Constrained Information Geometry

T. Tony Cai, Yicheng Li

Protecting individual privacy has become a central and urgent concern in modern data analysis, given the vast quantities of data now generated and processed. In this paper, we deve…

math.ST2026

The Cost of Discretization in Functional Linear Regression: Minimax Rates and Adaptation

T. Tony Cai, Yicheng Li

We study scalar-on-function linear regression when each covariate curve is observed only through finitely many noisy point evaluations. Our goal is to characterize the minimax esti…

cs.LG2026

A Van Trees Lower Bound for Fully Interactive Differentially Private Federated Learning

T. Tony Cai, Yicheng Li

Federated differentially private protocols can communicate over many adaptive rounds and reuse each client's local samples. Existing lower bound arguments for federated DP are ofte…

math.ST2026

Minimax and Adaptive Covariance Matrix Estimation under Differential Privacy

T. Tony Cai, Yicheng Li

Estimating covariance matrices is fundamental to a wide range of statistical applications. This paper studies minimax and adaptive estimation of high-dimensional covariance matrice…

stat.ME2022★ 1 cited

Statistical Inference for Genetic Relatedness Based on High-Dimensional Logistic Regression

Rong Ma, Zijian Guo, T. Tony Cai +1

This paper studies the problem of statistical inference for genetic relatedness between binary traits based on individual-level genome-wide association data. Specifically, under th…