Identification and Estimation in Panel Models with Overspecified Number of Groups
Ruiqi Liu, Zuofeng Shang, Yonghui Zhang and Qiankun Zhou
Journal of Econometrics, 215(2): 574-590, 2020
Statistical Inference on Panel Data Models: A Kernel Ridge Regression Method
Shunan Zhao, Ruiqi Liu and Zuofeng Shang
Journal of Business & Economic Statistics, 39(1): 325-337, 2021
Testing Community Structure for Hypergraphs
Mingao Yuan, Ruiqi Liu, Yang Feng and Zuofeng Shang
Annals of Statistics, 50(1): 147-169, 2022
A Consistent Test of Independence and Goodness-of-fit in Linear Regression Models
Qiqing Yu and Ruiqi Liu
Communications in Statistics - Simulation and Computation, 51(7): 3955-3974, 2022
Optimal Nonparametric Inference via Deep Neural Network
Ruiqi Liu, Ben Boukai and Zuofeng Shang
Journal of Mathematical Analysis and Applications, 505(2): 125561, 2022
Online Statistical Inference for Parameters Estimation with Linear-Equality Constraints
Ruiqi Liu, Mingao Yuan and Zuofeng Shang
Journal of Multivariate Analysis, 191: 105017, 2022
Deep Feature Screening: Feature Selection for Ultra High-Dimensional Data via Deep Neural Networks
Kexuan Li, Fangfang Wang, Lingli Yang and Ruiqi Liu
Neurocomputing, 538: 126187, 2023
Distributed Adaptive Nearest Neighbor Classifier: Algorithm and Theory
Ruiqi Liu, Ganggang Xu and Zuofeng Shang
Statistics and Computing, 33(96), 2023
Nonparametric Inference under B-bits Quantization
Kexuan Li, Ruiqi Liu, Ganggang Xu and Zuofeng Shang
Journal of Machine Learning Research, 25(19):1−68, 2024
Inverse Regression for Spatially Distributed Functional Data
Suneel Babu Chatla and Ruiqi Liu
Bernoulli, Accepted, 2024+
Calibrating Multi-dimensional Complex ODE from Noisy Data via Deep Neural Networks
Kexuan Li, Fangfang Wang, Ruiqi Liu, Fan Yang and Zuofeng Shang
Journal of Statistical Planning and Inference, 232: 106147, 2024
Dynamic Resource Matching in Manufacturing using Reinforcement Learning
Saunak Kumar Panda, Yisha Xiang and Ruiqi Liu
European Journal of Operational Research, 318(2): 408-423, 2024
Statistical Inference with Stochastic Gradient Methods under $\phi$-mixing Data
Ruiqi Liu, Xi Chen and Zuofeng Shang, 2023
Major Revision at Journal of the American Statistical Association
Minimax Optimal Deep Neural Network Classifiers under Smooth Decision Boundary
Tianyang Hu, Ruiqi Liu, Zuofeng Shang and Guang Cheng, 2022
Minor Revision at Journal of Machine Learning Research
Statistical Inference on Partially Linear Panel Model under Unobserved Linearity
Ruiqi Liu, Ben Boukai and Zuofeng Shang, 2019
On Deep Instrument Variables Estimate
Ruiqi Liu, Zuofeng Shang and Guang Cheng, 2020
A Computationally Efficient Classification Algorithm in Posterior Drift Model: Phase Transition and Minimax Adaptivity
Ruiqi Liu, Kexuan Li and Zuofeng Shang, 2020
Identification and Estimation of Parameter Instability in High Dimensional Approximate Factor Models
Ruiqi Liu and Yiru Wang, 2023
Estimation and Hypothesis Testing of Derivatives in Smoothing Spline ANOVA Models
Ruiqi Liu, Kexuan Li and Meng Li, 2023