research
∙
06/07/2023
Transfer Learning for General M-estimators with Decomposable Regularizers in High-dimensions
To incorporate useful information from related statistical tasks into th...
share
research
∙
07/23/2022
Change Point Detection for High-dimensional Linear Models: A General Tail-adaptive Approach
We study the change point detection problem for high-dimensional linear ...
research
∙
03/26/2022
Manifold Principle Component Analysis for Large-Dimensional Matrix Elliptical Factor Model
Matrix factor model has been growing popular in scientific fields such a...
research
∙
12/08/2021
Statistical Inference for Large-dimensional Matrix Factor Model from Least Squares and Huber Loss Points of View
In the article we focus on large-dimensional matrix factor models and pr...
research
∙
10/09/2021
Simultaneous Cluster Structure Learning and Estimation of Heterogeneous Graphs for Matrix-variate fMRI Data
Graphical models play an important role in neuroscience studies, particu...
research
∙
04/20/2020
Robust Covariance Estimation for High-dimensional Compositional Data with Application to Microbial Communities Analysis
Microbial communities analysis is drawing growing attention due to the r...
research
∙
03/23/2020
Projected Estimation for Large-dimensional Matrix Factor Models
Large-dimensional factor models are drawing growing attention and widely...
research
∙
01/29/2020
Network-Assisted Estimation for Large-dimensional Factor Model with Guaranteed Convergence Rate Improvement
Network structure is growing popular for capturing the intrinsic relatio...
research
∙
04/03/2019
D^2-City: A Large-Scale Dashcam Video Dataset of Diverse Traffic Scenarios
Driving datasets accelerate the development of intelligent driving and r...
research
∙
10/21/2018
High-dimensional Two-sample Precision Matrices Test: An Adaptive Approach through Multiplier Bootstrap
Precision matrix, which is the inverse of covariance matrix, plays an im...
research
∙
08/28/2018
Robust Factor Number Specification for Large-dimensional Factor Model
The accurate specification of the number of factors is critical to the v...
research
∙
08/26/2018
Doubly Robust Sure Screening for Elliptical Copula Regression Model
Regression analysis has always been a hot research topic in statistics. ...
research
∙
08/08/2018
A Unified Framework for Testing High Dimensional Parameters: A Data-Adaptive Approach
High dimensional hypothesis test deals with models in which the number o...
research
∙
02/11/2015
