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Welcome to Youngjin Cho’s Homepage

I am a tenure-track assistant professor in the Department of Mathematical Sciences at the University of Nevada, Las Vegas (UNLV). I joined the department in January 2026. I received my Ph.D. in Statistics from Virginia Tech, and prior to that, I earned my bachelor’s and master’s degrees in Statistics from Sungkyunkwan University. My research focuses on the development of statistical methodology, with primary interests in smoothing splines, functional data analysis, survival analysis, and high-dimensional statistics. Recently, I am particularly interested in developing nonparametric inference and hypothesis testing for smoothing spline ANOVA and functional data analysis, including research at their intersection with survival analysis. To contact me, you can email youngjin.cho@unlv.edu.

Research Papers

  • Cho, Y., Lee, E., and Park, S. (2026+), Quantile Modeling of Correlated Drug Responses with Low-Rank and Sparse Structure.
  • Cho, Y.*, Lin, Z., Du, P., and Hong, Y. (2026+), Computing Partial Likelihood in Cox’s Model with Competing Risks and Ties: A New Approach Using the Poisson Multinomial Distribution.
  • Cho, Y.* and Liu, M. (2026+), Effect-Wise Inference for Smoothing Spline ANOVA on Tensor-Product Sobolev Space, arXiv:2602.02753. [link]
  • Cho, Y. and Du, P. (2026), Competing Risk Model with A Nonparametric Form of Relative Risks, Lifetime Data Analysis, Vol.32, Article 49. [link]
  • Cho, Y., Hong, Y., and Du, P. (2025), An Accurate Computational Approach for Partial Likelihood Using Poisson-Binomial Distributions, Computational Statistics & Data Analysis, Vol.208, 108161. [link]
  • Cho, Y., Do, Q., Du, P., and Hong, Y. (2024), Reliability Study of Battery Lives: A Functional Degradation Analysis Approach, Annals of Applied Statistics, Vol.18, No.4, 3185-3204. [link]
  • Cho, Y. and Park, S. (2022), Multivariate Response Regression with Low-Rank and Generalized Sparsity, Journal of the Korean Statistical Society, Vol.51, 847-867. [link]

Collaborative Projects

  • Sim, E., Cho, Y., Jeong, S., and Cho, H. (2026+), Examining Adult Cognitive Skills Beyond the Mean: A Quantile Regression Analysis of PIAAC Korea Data.
  • Sim, E., Cho, Y., and Jeong, S. (2026+), Introducing the Multilevel Analysis of Individual Heterogeneity and Discriminatory Accuracy (MAIHDA) to Quantitatively Examine Intersectional Workplace Inequities: A Methodological Study.

*Corresponding author.