Minge Xie

Research activity per year

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Dive into the research topics where Minge Xie is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

1 Similar Profiles

2 Active
14 Finished

ATD: Dynamic Modeling for Extreme Event Prediction with Uncertainty Quantification with Multi-panel Time Series
Xiao, H. (PI), Xie, M. (CoPI) & Chen, R. (CoPI)
National Science Foundation
8/1/23 → 7/31/26
Rutgers, The State University
Project: Research
Unravel machine learning blackboxes -- A general, effective and performance-guaranteed statistical framework for complex and irregular inference problems in data science
Xie, M. (PI) & Gao, J. (CoPI)
National Science Foundation
7/1/23 → 6/30/26
Rutgers, The State University
Project: Research
ATD: Anomaly Detection with Confidence and Precision
Xie, M. (PI), Chen, R. (CoPI) & Xiao, H. (CoPI)
National Science Foundation
8/1/20 → 7/31/24
Rutgers, The State University
Project: Research
Repro Sampling Method: A Transformative Artificial-Sample-Based Inferential Framework with Applications to Discrete Parameter, High-Dimensional Data, and Rare Events Inferences
Xie, M. (PI) & Guo, Z. (CoPI)
National Science Foundation
7/1/20 → 6/30/23
Rutgers, The State University
Project: Research
Nonparametric Inference and Prediction for Complex Data by Data Depth, Confidence Distribution and Monte Carlo Method
Liu, R. (PI) & Xie, M. (CoPI)
National Science Foundation
8/15/18 → 7/31/22
Rutgers, The State University
Project: Research

66 Article
6 Conference contribution
5 Comment/debate
4 Chapter
More

A unified combination framework for dependent tests with applications to microbiome association studies
Yu, X., Zhang, L., Srinivasan, A., Xie, M. G. & Xue, L., Mar 1 2025, In: Biometrics. 81, 1, ujaf001.
Research output: Contribution to journal › Article › peer-review

Open Access
Discussion of “Power Priors for Leveraging Historical Data: Looking Back and Looking Forward”
Xie, M., Jan 2025, In: Journal of Data Science. 23, 1, p. 59-61 3 p.
Research output: Contribution to journal › Comment/debate › peer-review

Open Access
An Exploration of Parameter Duality in Statistical Inference
Thornton, S. & Xie, M., Dec 1 2024, In: Philosophy of Science. 91, 5, p. 1488-1497 10 p.
Research output: Contribution to journal › Article › peer-review

Open Access
A simulation study of the performance of statistical models for count outcomes with excessive zeros
Zhou, Z., Li, D., Huh, D., Xie, M. & Mun, E. Y., Oct 30 2024, In: Statistics in Medicine. 43, 24, p. 4752-4767 16 p.
Research output: Contribution to journal › Article › peer-review

Open Access
Exact Inference for Common Odds Ratio in Meta-Analysis with Zero-Total-Event Studies
Chen, X., Cheng, J., Tian, L. & Xie, M., 2024, (Accepted/In press) In: Statistics in Biosciences.
Research output: Contribution to journal › Article › peer-review

Open Access

Minge Xie

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Collaborations and top research areas from the last five years

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ATD: Dynamic Modeling for Extreme Event Prediction with Uncertainty Quantification with Multi-panel Time Series

Unravel machine learning blackboxes -- A general, effective and performance-guaranteed statistical framework for complex and irregular inference problems in data science

ATD: Anomaly Detection with Confidence and Precision

Repro Sampling Method: A Transformative Artificial-Sample-Based Inferential Framework with Applications to Discrete Parameter, High-Dimensional Data, and Rare Events Inferences

Nonparametric Inference and Prediction for Complex Data by Data Depth, Confidence Distribution and Monte Carlo Method

A unified combination framework for dependent tests with applications to microbiome association studies

Discussion of “Power Priors for Leveraging Historical Data: Looking Back and Looking Forward”

An Exploration of Parameter Duality in Statistical Inference

A simulation study of the performance of statistical models for count outcomes with excessive zeros

Exact Inference for Common Odds Ratio in Meta-Analysis with Zero-Total-Event Studies

Minge Xie

Fingerprint

Collaborations and top research areas from the last five years

Projects

Research output