6 papers
High-dimensional ridgeless least squares interpolation under spiked covariance structures
Zhijun Liu, Dandan Jiang
This paper investigates the asymptotic behavior of the out-of-sample prediction risk of the high-dimensional ridgeless least-squares estimator when the feature dimension and th…
Double Descent, Ensemble Emergence, and Large Model Averaging in High-Dimensional Multimodel Prediction
Ke Chen, Dandan Jiang, Xinyu Zhang
This paper investigates the predictive performance of high-dimensional multimodel prediction, where the number of regressors is comparable to the sample size. Leveraging tools from…
Phase Transition of Spectral Fluctuations in Large Gram Matrices with a Variance Profile: A Unified Framework for Sparse CLTs
Rui Wang, Guangming Pan, Dandan Jiang
We study the asymptotic spectral behavior of high-dimensional random Gram matrices with sparsity and a variance profile, motivated by applications in wireless communications. Speci…
Asymptotic Theory and Sequential Testing for Adaptive Bandits
Li Yang, Xiaodong Yan, Dandan Jiang
Multi-armed bandit (MAB) processes constitute a foundational subclass of reinforcement learning problems and represent a central topic in statistical decision theory. Yet, conducti…
Fast Capacity Estimation in Ultra-dense Wireless Networks with Random Interference
Dandan Jiang, Rui Wang, Jiang Xue
In wireless communication systems, the accurate and reliable evaluation of channel capacity is believed to be a fundamental and critical issue for terminals. However, with the rapi…
Inference on testing the number of spikes in a high-dimensional generalized spiked Fisher matrix
Rui Wang, Dandan Jiang
The spiked Fisher matrix is a significant topic for two-sample problems in multivariate statistical inference. This paper is dedicated to testing the number of spikes in a high-dim…