Keying Ye

Professor

University of Texas at San Antonio

United States

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About

Keying Ye is a Professor at the University of Texas at San Antonio, United States. His research interests include Bayesian analysis, statistical modeling, and quantile regression. He has contributed to various fields through recent articles focusing on Bayesian methodologies, power prior Bayesian analysis, and the application of statistical techniques in clinical trials and biomedical research.

Articles (10)

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2024

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2023

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2023

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2023

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2022

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2022

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2021

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2021

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2021

Year:

2021

Collaborators (1)

Min Wang

Associate Professor

University of Texas at San Antonio

UNITED STATES

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Keying Ye

Research Interests

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About

Articles (10)

Bayesian analysis of testing general hypotheses in linear models with spherically symmetric errors

A simple consistent Bayes factor for testing the Kendall rank correlation coefficient

A Study on the Power Parameter in Power Prior Bayesian Analysis

On efficient posterior inference in normalized power prior Bayesian analysis

Probability-based approach for characterization of microarchitecture and its effect on elastic properties of trabecular bone

Bayesian variable selection and estimation in quantile regression using a quantile-specific prior

A system for determining maximum tolerated dose in clinical trial

Bayesian quantile semiparametric mixed-effects double regression models

Robust Bayesian hierarchical modeling and inference using scale mixtures of normal distributions

Normalized power prior Bayesian analysis

Collaborators (1)

Min Wang

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