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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...
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12/20/2022
fastMI: a fast and consistent copula-based estimator of mutual information
As a fundamental concept in information theory, mutual information (MI) ...
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10/26/2022
Asymmetric predictability in causal discovery: an information theoretic approach
Causal investigations in observational studies pose a great challenge in...
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04/02/2022
Collaborative causal inference with a distributed data-sharing management
Data sharing barriers are paramount challenges arising from multicenter ...
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01/04/2022
Supervised Homogeneity Fusion: a Combinatorial Approach
Fusing regression coefficients into homogenous groups can unveil those c...
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10/29/2021
Parallel-and-stream accelerator for computationally fast supervised learning
Two dominant distributed computing strategies have emerged to overcome t...
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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...
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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...
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03/15/2021
Data Discovery Using Lossless Compression-Based Sparse Representation
Sparse representation has been widely used in data compression, signal a...
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11/30/2020
Joint integrative analysis of multiple data sources with correlated vector outcomes
We propose a distributed quadratic inference function framework to joint...
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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...
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05/02/2020
Pattern-Based Analysis of Time Series: Estimation
While Internet of Things (IoT) devices and sensors create continuous str...
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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...
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08/04/2019
Method of Contraction-Expansion (MOCE) for Simultaneous Inference in Linear Models
Simultaneous inference after model selection is of critical importance t...
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04/07/2019
