Min Wang

Associate Professor

University of Texas at San Antonio

United States

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Min Wang is an Associate Professor at The University of Texas at San Antonio, United States. His research areas include Bayesian methods, machine learning applications in modeling, and data-driven strategies for heat transfer performance. He has contributed significantly to the field with recent articles focusing on Bayesian variable selection, digital health interventions, and hydraulic modeling in smelting processes.

Min Wang

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Articles (25)

Bayesian variable selection in Kriging metamodeling for quality design

Estimating the standard enthalpy of binary composite oxides: A novel deep learning approach using MHA-TCN-HO-SE

Augmenting insights into heat transfer performance of direct-contact evaporator: An interpretable data-driven hybrid strategy

Bayesian variable selection and estimation in binary quantile regression using global-local shrinkage priors

Bootstrap‐Based Control Chart for Percentiles of the Generalized Lognormal Distribution With Reliability Applications

Double-robust Bayesian variable selection and model prediction with spherically symmetric error

Bayesian analysis of multi-fidelity modeling in the stochastic simulations

Bayesian adaptive lasso quantile regression with non-ignorable missing responses

Methodological approaches in developing and implementing digital health interventions amongst underserved women

A novel Bayesian computational approach for bridge-randomized quantile regression in high dimensional models

Forecasting the high‐frequency volatility based on the LSTM‐HIT model

Parameter Estimation of Birnbaum-Saunders Distribution under Competing Risks Using the Quantile Variant of the Expectation-Maximization Algorithm

Investigation on spatter characteristics of liquid phase and life span of submerged lance in the top-blown smelting process using hydraulic modelling

Sparse Bayesian variable selection in high‐dimensional logistic regression models with correlated priors

Hydraulic modeling of slag cover surface in top-blown molten bath smelting processes assisted by machine learning

A study on the g and h control charts

A unified heat transfer model for gas-liquid two-phase mixing process in a rectangular channel based on steady status identification

Estimation based on hybrid censored data from the power Lindley distribution

Optimal scheme and estimation for a bivariate step‐stress accelerated life test with the inverse Weibull distribution under type‐I progressive censored samples

Development of robust X‐bar charts with unequal sample sizes

Robust explicit estimators using the power-weighted repeated medians

A study on the performance of the probability-limit control charts based on the geometric and negative binomial distributions

Robust Explicit Estimation of the Log-Logistic Distribution with Applications

Bayesian hypothesis testing for equality of high-dimensional means using cluster subspaces

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

Collaborators (4)

Jacqueline McGrath

Keying Ye

Ehab M. Almetwally

Chanseok Park

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