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Math and Stat Profile


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Tiantian Yang

Mathematical and Statistical Sciences

Degree Program: PhD

tiantiy@clemson.edu

 

Educational Background

MS, Mathematics, Georgia Southern University, 2014
BS, Applied Mathematics, Central China Normal University, 2012
BS, Economics, Central China Normal University, 2012

Professional Research Interests

My primary research interests include, but are not limited to, missing data imputation, clustered data analysis, mixture models, statistical design, and machine learning with applications to genetics, genomics, public health, biology, environment, and psychology. 

Selected Publications

Total citations = 102 from Google Scholar
  •      Chen, D., Hu, F., Nian, G., Yang, T. (2020). Deep Residual Learning for Nonlinear Regression. Entropy, 22, 193.
  •      Oluyede, B., Yang, T., Makubate, B. (2016). A New Class of Generalized Power Lindley Distribution with Applications to Lifetime Data. Asian Journal of Mathematics and Applications, 1-34.
  •      Oluyede, B., Yang, T. (2015).  A New Class of Generalized Lindley Distribution with Applications. Journal of Statistical Computation and Simulation, 85(10), 2072-2100.
  •      Oluyede, B., Yang, T., Omolo, B. (2015).  A Generalized Class of Kumaraswamy Lindley Distribution with Applications to Lifetime Data. Journal of Computations and Modeling, Vol. 5, No. 1, 27-70.
  •      Oluyede, B., Huang, S., Yang, T. (2015).  A New Class of Generalized Modified Weibull Distribution with Applications. Austrian Journal of Statistics, Vol. 44, 43-68.

Links

Other Professional Activities

Journal Reviewer, Journal of Computational and Graphical Statistics, 1 article, 2021 - Present
Journal Reviewer, Pakistan Journal of Statistics, 1 article, 2021 - Present
Journal Reviewer, Mathematica Slovaca, 1 article, 2020 - Present