Recruiting

  • Fully-funded (monthly salary + tuition covered) RA openings are available for highly self-motivated M.S. in Data Science students starting Spring 2024.

    M.S. in Data Science application link Click for More info about CODE-AG

  • Fully-funded (monthly salary + tuition covered) RA openings are available for highly self-motivated undergraduate students with research interests in Data Science starting Spring 2024.

Applications

  • Apply to the M.S. in Data Science program at Texas A&M University-Corpus Christi.

    M.S. in Data Science Application

    Application Deadlines

    Fall Enrollment

    • Domestic students: July 15
    • International students: June 15

    Spring Enrollment

    • Domestic students: November 15
    • International students: October 15

  • Apply for a teaching assistantship in the Department of Mathematics and Statistics.

    Teaching Assistantship Application

Research Team

    Postdoctoral Researcher

  • Dr. Baokun Li

    • Ph.D. Students

    • Dr. Nene Coulibaly (Sp26)

      Dr. Nene Coulibaly

    • Emily Liu

      Emily Liu

    Master Students

    Emily Liu(Su 26)

    Emily Liu

    Sandeep Muhurakola(Fa 25)

    Emily Liu

    Zak Zapata(Sp26)

    Zak Zapata

    Ashley Marines

    Ashley Marines

    Christophe J Perez

    Christophe J Perez

    Naga S. Polavarapu (Sp 25)

    Ashley Marines

    Sushma Ponugoti (Sp 25)

    Jahnavi Krishna Koda (Sp 25)

    Oscar Davila Jr.

    Rory Rylan Chavez

    Freddy Martinez

    Sunil Kumar Kanala (Fall 2025)

    Lavanya Dontheboina (Spring 2026)

Publications

. Shape-Aware Deep Learning for Models of Production Journal of Productivity Analysis, (2026) 65:13.

Link

. Bayesian Stochastic Frontier Models under the Skew-Normal Half-Normal Settings . Journal of Productivity Analysis, (2025) Accepted.

Link

. Nonparametric Machine Learning for Stochastic Frontier Analysis: A Bayesian Additive Regression Tree Approach . Econometrics and Statistics, (2024) Accepted.

Link

. An ECM estimation for the skew-normal based stochastic frontier model. Computational Statistics, In Press.

Link

. On the exploration of regression dependence structures in multidimensional contingency tables with ordinal response variables. Journal of Multivariate Analysis, In Press.

Link

. Multivariate Skew Normal-Based Stochastic Frontier Models. Journal of Statistical Theory and Practice, 16, no. 2 (2022): 1-21.

Link

. Bayesian asymmetric association analysis on ordinal contingency tables. Computational Statistics, (2022) 37, 1311–1338.

Link

. The extended skew normal based stochastic frontier model: a re-specification for ‘wrong skewness’ problem. Statistics, 55, no. 6 (2021): 1387-1406.

Link

. On Exploratory Analytic Method for Multi-Way Contingency Tables with an Ordinal Response. Journal of Multivariate Analysis, (2021), 186, 104793.

Link

. Measure of asymmetric association for ordinal contingency tables via the bilinear extension copula regression. Statistics and Probability Letters, (2021), 178, 109183.

Link

. On Partial and Conditional Association Measures for Ordinal Contingency Tables. Communication in Statistics-Computation and Simulation, (2021) In Press.

Link

. Asymmetric dependence in the stochastic frontier model using skew normal copula. International Journal of Approximate Reasoning, (2021), 128, 56-68.

Link

. Mitochondrial respiration on environmental toxin exposure in zebrafish. Comparative Biochemistry and Physiology, Part C., (2020) 233(108759), 1-9.

Link

Parallel Markov Chain Monte Carlo for Bayesian Hierarchical Models with Big Data, in Two Stages. Journal of Applied Statistics . (2019) 46(11), 1917-1936

Link

Multivariate Skew Normal Copula for Asymmetric Dependence: Estimation and Application. International Journal of Information Technology and Decision Making. (2019) 18(1), 365-387.

Link

On multivariate asymmetric dependence using multivariate skew-normal copula-based regression. International Journal of Approximate Reasoning. (2018) 92, 376-391.

Link

Parallel Markov chain Monte Carlo for Bayesian dynamic item response models in educational testing. STAT. (2017) 6(1), 420-433.

Link

Subcopula-based Measure of Asymmetric Association in a Contingency Table. Statistics in Medicine. (2017) 1-20.

Link

Parallel Markov chain Monte Carlo for non-Gaussian posterior distributions. STAT. 4.1 (2015): 304-319.

Link

Multivariate dependence concepts through copulas. International Journal of Approximate Reasoning. 65 (2015): 24-33.

Link

Teaching

Courses that I taught as an instructor:

  • Texas A&M University - Corpus Christi

    • MATH 6315 - Statistical Methods in Research (in R)
    • DASC 5390 - Deep Learning in Data Science (in Python)
    • DASC 5345 - Computational Methods for Statistics (in Python)
    • DASC 5307 - Machine Learning in Data Science (in Python)
    • DASC 5303 - Data Science Computing (in Python)
    • DASC 5301 - Principle of Data Science (in Python)
    • Math 3345 - Statistical Modeling and Data Analysis (in Python)

  • University of Maine

    • Math 400 - Bayesian Statistics
    • STS 435 - Introduction to Mathematical Statistics
    • STS 434 - Introduction to Statistics
    • STS 332 - Statistics for Engineers
    • STS 232 - Principles of Statistical Inference

  • University of Massachusetts Amherst

    • STAT 597 - Statistics Computing (R and SAS based)
    • STAT 516 - Statistics II
    • STAT 515 - Statistics I

  • New Mexico State University

    • STAT 371 - Probability and Statistics for Engineers
    • STAT 251G - Statistics for Business and the Behavioral Sciences

Contact

  • zheng.wei@tamucc.edu
  • CI 306, 6300 Ocean Drive, Corpus Christi, TX 78412, USA
  • Email for appointment