Faculty

Institution

Unit

Venue

Min Wang

Professor

University of Texas at San Antonio

Affiliations

Carlos Alvarez College of Business

Management Science & Statistics

School of Data Science

Min Wang is currently serving as a Carlos Alvarez College Of Business Professor at University of Texas At San Antonio.

Honors

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Experiences

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Education

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Min Wang

University of Texas at San Antonio

Professor

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statistics applied statistics bayesian analysis data science applied mathematics statistical theory estimation theory statistical methodology probability theory statistical inference bayesian inference engineering sampling statistical analysis parameter estimation bibliometrics reliability engineering quality engineering bayesian variable selection cardiology quality control quality assurance bayes factor consistency birnbaum-saunders distribution linear models construction engineering inference building engineering thermal engineering psychoneuroendocrinology cardiovascular research bayesian hierarchical modeling human physiology bayesian statistics biological psychology molecular dynamics log-logistic distribution sympathetic neural reactivity correlation coefficient construction materials carbon neuroradiology applied physiology family psychology circulatory physiology liver physiology industrial informatics building technology construction technology bayesian network approximate bayesian computation forest soils soil science stress management cardiovascular physiology cardiovascular function support vector machines treatment planning life expectancy cardiovascular translational research condition monitoring mixture distribution mixture analysis simulation optimization computational economics mathematical economics prevalence long-term care modulus simulation asphalt binder models aggregate angularity characterization scale mixtures normal distributions hypothesis testing generalized ratio-of-uniforms method weighted lindley distribution model selection biostatistics prior elicitation

Notable Scholarly Works

Notable Federal Grants

Collaborators

Bootstrap‐Based Control Chart for Percentiles of the Generalized Lognormal Distribution With Reliability Applications. Quality and Reliability Engineering International (2025)

Shantayan PandaMin Wang

statisticsreliability modellingreliability applicationsreliability engineeringreliabilityquality engineeringlognormal distributionsystem reliabilitybootstrap-based control chart

Classical and Bayesian Estimation of Pci 𝒞 Pc Using Power Generalized Weibull Distribution. Stochastics and Quality Control (2025)

Sanku DeyMahendra SahaShen ZhangMin Wang

weibull distributionstatisticsestimation theorybayesian analysisstochastic controlphysical distributionstochastic processquality controlbayesian estimation

Bayesian Adaptive Lasso Quantile Regression With Non-Ignorable Missing Responses. Computational Statistics (2024)

Ranran ChenMai DaoKeying YeMin Wang

statisticsstatistical methodologybayesian analysismissing datacomputational statistics

Bayesian Analysis of Multi-Fidelity Modeling in the Stochastic Simulations. Computers & Industrial Engineering (2024)

Baoping TaoLing YanYaping ZhaoMin WangLinhan Ouyang

stochastic simulationsindustrial engineeringengineeringmulti-fidelity modelingbayesian analysis

Forecasting the High‐Frequency Volatility Based on the LSTM‐Hit Model. Journal of Forecasting (2024)

Guangying LiuZiyan ZhuangMin Wang

economicslstm-hit modelfinancial economicsforecastinghigh-frequency volatilityeconomic forecasting

Hydraulic Modeling of Slag Cover Surface in Top-Blown Molten Bath Smelting Processes Assisted by Machine Learning. Physics of Fluids (2024)

Kai YangBo YuJianxin PanMin WangHua WangQingtai Xiao

numerical simulationsphysicsenvironmental engineeringenvironmental sciencetop-blown moltenmachine learningfluid flowhydraulic engineeringslag cover surfacefluid dynamicshydraulic modelingcomputational fluid dynamicswater process engineeringhydraulicssurface waterfluid mechanicsmodeling and simulationsurface science

Investigation on Spatter Characteristics of Liquid Phase and Life Span of Submerged Lance in the Top-Blown Smelting Process Using Hydraulic Modelling. Advanced Powder Technology (2024)

Kai YangBo YuWuliang YinMin WangHua WangQingtai Xiao

materials scienceparticle technologymaterials engineeringlife spanliquid phasemechanical engineeringtop-blown smelting processhydraulic modellingsubmerged lancethermal engineeringapplied physicsfluid mechanics

Methodological Approaches in Developing and Implementing Digital Health Interventions Amongst Underserved Women. Public Health Nursing (2024)

Allison D. CrawfordRocky SlavinMaryam TabarKavita RadhakrishnanMin WangAshlynn EstradaJacqueline M. McGrath

digital healthunderserved womenunderserved populationsdigital health interventionsnursingpublic healthmethodological development

Parameter Estimation of Birnbaum-Saunders Distribution Under Competing Risks Using the Quantile Variant of the Expectation-Maximization Algorithm. Mathematics (2024)

Chanseok ParkMin Wang

statistical inferencestatisticsstatistical theoryexpectation-maximization algorithmbayesian analysisapplied probabilitybirnbaum-saunders distributionapplied mathematicsmathematicsmathematical statisticsquantile variant

Sparse Bayesian Variable Selection in High‐Dimensional Logistic Regression Models With Correlated Priors. Statistical Analysis and Data Mining The ASA Data Science Journal (2024)

Zhuanzhuan MaZifei HanSouparno GhoshLiucang WuMin Wang

statistical analysisstatisticsdata sciencecorrelated priorslogistic regressiondata mining

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Min Wang

Professor

University of Texas at San Antonio

Affiliations

Carlos Alvarez College of Business

Management Science & Statistics

School of Data Science

Min Wang is currently serving as a Carlos Alvarez College Of Business Professor at University of Texas At San Antonio.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Min Wang

University of Texas at San Antonio

Professor

You can click a keyword to filter the displayed items

Notable Scholarly Works

Notable Federal Grants

Collaborators

Bootstrap‐Based Control Chart for Percentiles of the Generalized Lognormal Distribution With Reliability Applications. Quality and Reliability Engineering International (2025)

Shantayan PandaMin Wang

statisticsreliability modellingreliability applicationsreliability engineeringreliabilityquality engineeringlognormal distributionsystem reliabilitybootstrap-based control chart

Classical and Bayesian Estimation of Pci 𝒞 Pc Using Power Generalized Weibull Distribution. Stochastics and Quality Control (2025)

Sanku DeyMahendra SahaShen ZhangMin Wang

weibull distributionstatisticsestimation theorybayesian analysisstochastic controlphysical distributionstochastic processquality controlbayesian estimation

Bayesian Adaptive Lasso Quantile Regression With Non-Ignorable Missing Responses. Computational Statistics (2024)

Ranran ChenMai DaoKeying YeMin Wang

statisticsstatistical methodologybayesian analysismissing datacomputational statistics

Bayesian Analysis of Multi-Fidelity Modeling in the Stochastic Simulations. Computers & Industrial Engineering (2024)

Baoping TaoLing YanYaping ZhaoMin WangLinhan Ouyang

stochastic simulationsindustrial engineeringengineeringmulti-fidelity modelingbayesian analysis

Forecasting the High‐Frequency Volatility Based on the LSTM‐Hit Model. Journal of Forecasting (2024)

Guangying LiuZiyan ZhuangMin Wang

economicslstm-hit modelfinancial economicsforecastinghigh-frequency volatilityeconomic forecasting

Hydraulic Modeling of Slag Cover Surface in Top-Blown Molten Bath Smelting Processes Assisted by Machine Learning. Physics of Fluids (2024)

Kai YangBo YuJianxin PanMin WangHua WangQingtai Xiao

Investigation on Spatter Characteristics of Liquid Phase and Life Span of Submerged Lance in the Top-Blown Smelting Process Using Hydraulic Modelling. Advanced Powder Technology (2024)

Kai YangBo YuWuliang YinMin WangHua WangQingtai Xiao

Methodological Approaches in Developing and Implementing Digital Health Interventions Amongst Underserved Women. Public Health Nursing (2024)

Allison D. CrawfordRocky SlavinMaryam TabarKavita RadhakrishnanMin WangAshlynn EstradaJacqueline M. McGrath

digital healthunderserved womenunderserved populationsdigital health interventionsnursingpublic healthmethodological development

Parameter Estimation of Birnbaum-Saunders Distribution Under Competing Risks Using the Quantile Variant of the Expectation-Maximization Algorithm. Mathematics (2024)

Chanseok ParkMin Wang

Sparse Bayesian Variable Selection in High‐Dimensional Logistic Regression Models With Correlated Priors. Statistical Analysis and Data Mining The ASA Data Science Journal (2024)

Zhuanzhuan MaZifei HanSouparno GhoshLiucang WuMin Wang

statistical analysisstatisticsdata sciencecorrelated priorslogistic regressiondata mining

1
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5
10
10 / page

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