6 papers
MATCH: Multiplier-Assisted Tests for Conditional Hypotheses in Non-Euclidean Data
Leheng Cai, Xu Guo, Qirui Hu
We propose a new procedure MATCH (Multiplier-Assisted Tests for Conditional Hypotheses) to test whether the non-Euclidean data match the target model, which is a general framework…
Locally Private Online Quantile Regression: Estimation and Inference
Yi Liu, Qirui Hu
We study estimation and inference for online quantile regression under a one-report user-level $\eps$-locally differentially private ($\eps$-LDP) protocol. The main difficulty is t…
Unified theory of testing relevant hypotheses in functional time series
Leheng Cai, Qirui Hu
In this paper, we develop a {\em unified} framework for testing relevant hypotheses in functional time series. The proposed approach accommodates one-sample, two-sample, and change…
Individualized Causal Effects under Network Interference with Combinatorial Treatments
Yunping Lu, Haoang Chi, Qirui Hu +1
Modern causal decision-making increasingly demands individualized treatment-effect estimation in networks where interventions are high-dimensional, combinatorial vectors. While net…
Federated Learning of Quantile Inference under Local Differential Privacy
Leheng Cai, Qirui Hu, Shuyuan Wu
In this paper, we investigate federated learning for quantile inference under local differential privacy (LDP). We propose an estimator based on local stochastic gradient descent (…
From sparse to dense functional time series: phase transitions of detecting structural breaks and beyond
Leheng Cai, Qirui Hu
We develop a novel methodology for detecting abrupt break points in mean functions of functional time series, adaptable to arbitrary sampling schemes. By employing B-spline smoothi…