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09/19/2022
Finite- and Large- Sample Inference for Model and Coefficients in High-dimensional Linear Regression with Repro Samples
In this paper, we present a new and effective simulation-based approach ...
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06/13/2022
Repro Samples Method for Finite- and Large-Sample Inferences
This article presents a novel, general, and effective simulation-inspire...
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09/04/2021
Confidence Distribution and Distribution Estimation for Modern Statistical Inference
This paper introduces to readers the new concept and methodology of conf...
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02/22/2021
Divide-and-conquer methods for big data analysis
In the context of big data analysis, the divide-and-conquer methodology ...
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03/19/2020
Homeostasis phenomenon in predictive inference when using a wrong learning model: a tale of random split of data into training and test sets
This note uses a conformal prediction procedure to provide further suppo...
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01/31/2020
p-Value as the Strength of Evidence Measured by Confidence Distribution
The notion of p-value is a fundamental concept in statistical inference ...
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01/23/2020
Geometric Conditions for the Discrepant Posterior Phenomenon and Connections to Simpson's Paradox
The discrepant posterior phenomenon (DPP) is a counterintuitive phenomen...
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06/13/2019
Individualized Group Learning
Many massive data are assembled through collections of information of a ...
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02/10/2018