Education

2015 Xuzhou University of Technology, B.S.
2018 Sichuan University, M.S.
2020 Bowling Green State University, M.S.
2024 Bowling Green State University, Ph.D.

Courses Taught

Introduction to Statistics
Applied Statistics

Career Specialties

Xin Jin's research interests lie in Bayesian statistics, network science, and applied statistics. Her work focuses on developing statistical methodologies to address complex data structures, such as high dimensionality, stratification, and circular and spatial structures.

Professional and Community Activities

Xin actively participates in the academic community by attending conferences, workshops, and seminars to stay current with the latest advancements in statistical research. She is also engaged in collaborative research with distinguished professors from various universities. Her recent publications include:

Jin, X., Bhattacharya, A., Ghosh, R. P. (2024). High-dimensional Bernstein-von Mises theorem for the Diaconis-Ylvisaker prior. Journal of Multivariate Analysis, 200, 105279.

Jin, X., Chan, C. K., Barnett, I., Ghosh, R. P. (2024). Two-sample hypothesis testing for large random graphs of unequal size. Available at: arxiv.org/abs/2402.11133.

Honors and Awards

Charles E. Shanklin Award for Research Excellence at BGSU
Travel Award for Presentation at NBER-NSF SBIES
Eugene & Elizabeth Lukacs Scholarship Award at BGSU
J. Robert and G. Overman Scholarship Award at BGSU