research
∙
07/24/2023
A Differentially Private Weighted Empirical Risk Minimization Procedure and its Application to Outcome Weighted Learning
It is commonplace to use data containing personal information to build p...
share
research
∙
12/20/2022
fastMI: a fast and consistent copula-based estimator of mutual information
As a fundamental concept in information theory, mutual information (MI) ...
research
∙
10/26/2022
Asymmetric predictability in causal discovery: an information theoretic approach
Causal investigations in observational studies pose a great challenge in...
research
∙
04/02/2022
Collaborative causal inference with a distributed data-sharing management
Data sharing barriers are paramount challenges arising from multicenter ...
research
∙
01/04/2022
Supervised Homogeneity Fusion: a Combinatorial Approach
Fusing regression coefficients into homogenous groups can unveil those c...
research
∙
10/29/2021
Parallel-and-stream accelerator for computationally fast supervised learning
Two dominant distributed computing strategies have emerged to overcome t...
research
∙
09/30/2021
Robust High-Dimensional Regression with Coefficient Thresholding and its Application to Imaging Data Analysis
It is of importance to develop statistical techniques to analyze high-di...
research
∙
06/30/2021
Real-Time Regression Analysis of Streaming Clustered Data With Possible Abnormal Data Batches
This paper develops an incremental learning algorithm based on quadratic...
research
∙
03/15/2021
Data Discovery Using Lossless Compression-Based Sparse Representation
Sparse representation has been widely used in data compression, signal a...
research
∙
11/30/2020
Joint integrative analysis of multiple data sources with correlated vector outcomes
We propose a distributed quadratic inference function framework to joint...
research
∙
07/16/2020
Doubly Distributed Supervised Learning and Inference with High-Dimensional Correlated Outcomes
This paper presents a unified framework for supervised learning and infe...
research
∙
05/02/2020
Pattern-Based Analysis of Time Series: Estimation
While Internet of Things (IoT) devices and sensors create continuous str...
research
∙
10/07/2019
A Distributed and Integrated Method of Moments for High-Dimensional Correlated Data Analysis
This paper is motivated by a regression analysis of electroencephalograp...
research
∙
08/04/2019
Method of Contraction-Expansion (MOCE) for Simultaneous Inference in Linear Models
Simultaneous inference after model selection is of critical importance t...
research
∙
04/07/2019