Xiaotian Dai

Assistant Professor of Statistics

Illinois State University

United States

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Dr. Xiaotian Dai is an Assistant Professor of Statistics at Illinois State University, USA. His research primarily focuses on Bayesian modeling, particularly in the areas of COVID-19 surveillance and epidemiology, as evidenced by his recent publications on wastewater monitoring and genomic selection. He has contributed significantly to understanding the dynamics of SARS-CoV-2 through statistical frameworks and innovative modeling techniques.

Articles (11)

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2024

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2023

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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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2022

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2022

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2021

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2021

Collaborators (3)

Srijak Bhatnagar

Assistant Adjunct Professor

University of Calgary

CANADA

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Barbara Jean Waddell

University of Calgary

CANADA

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Jangwoo Lee

ETH Zurich

SWITZERLAND

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Xiaotian Dai

Research Interests

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Articles (11)

A Bayesian framework for modeling COVID‐19 case numbers through longitudinal monitoring of SARS‐CoV‐2 RNA in wastewater

Campus node-based wastewater surveillance enables COVID-19 case localization and confirms lower SARS-CoV-2 burden relative to the surrounding community

A Bayesian genomic selection approach incorporating prior feature ordering and population structures with application to coronary artery disease

Wastewater-based surveillance can be used to model COVID-19-associated workforce absenteeism

Surveillance for SARS-CoV-2 and its variants in wastewater of tertiary care hospitals correlates with increasing case burden and outbreaks

An approach of Bayesian variable selection for ultrahigh dimensional multivariate regression

Longitudinal SARS-CoV-2 RNA wastewater monitoring across a range of scales correlates with total and regional COVID-19 burden in a well-defined urban population

Epistasis Detection via the Joint Cumulant

Statistical framework to support the epidemiological interpretation of SARS-CoV-2 concentration in municipal wastewater

Functional random forests for curve response

Statistical learning methods applicable to genome-wide association studies on unbalanced case-control disease data

Collaborators (3)

Srijak Bhatnagar

Barbara Jean Waddell

Jangwoo Lee

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