Dr. Yan Sun

Utah State University, USA

Associate Professor

Email: [email protected]

Qualifications

2011 Ph.D., Statistics, University of Cincinnati, USA

2014 M.S., Mathematics, University of Cincinnati, USA

2005 B.S., Mathematics, Fudan University, China

Publications (Selected)

1. Moussa, M., Ratterman, C., Zhang, W., Zhe, S., & Sun, Y. (2026). DeepCut: Adaptive Neural Network Thresholds for Precipitation Phase Partitioning. Machine Learning: Earth, 2, 015009.
2. Duah, K. D., Sun, Y., & Moussa, M. (2026). A Random Quantile Approach for Prior Covariance Estimation in Bayesian Maximum Entropy. Spatial Statistics, 73, 100974.
3. Duah, K. D., Sun, Y., & Bean, B. (2025). Integrating Multi-Source Geospatial Information Using Bayesian Maximum Entropy: A Case Study on Design Ground Snow Load Prediction. Spatial Statistics, 67, 100894.
4. Rios, Z., Sun, Y., & Bean, B. (2025). Multi-Sample Means Comparisons for Soft Interval Data. International Journal of Approximate Reasoning, 176, 109322.
5. Gaona-Partida, P., Yeh, C. C., Sun, Y., & Cutler, A. (2024). Random Forests Regression for Soft Interval Data. Communications in Statistics – Simulation and Computation, 1–20.
6. Bean, B., Sun, Y., & Maguire, M. (2022). Interval-Valued Kriging for Geostatistical Mapping with Imprecise Inputs. International Journal of Approximate Reasoning, 140, 31–51.
7. Sun, Y., Lian, G., Lu, Z., Loveland, J., & Blackhurst, I. (2020). Modeling the Variance of Return Intervals Toward Volatility Prediction. Journal of Time Series Analysis, 41, 492–519.
8. Sun, Y. (2017). Asymptotic Tests for Interval-Valued Means. Statistics & Probability Letters, 121, 70–77.
9. Sun, Y., Bekker, M., DeRose, J., Kjelgren, R., & Wang, S. Y. (2017). Statistical Treatment for the Wet Bias in Tree-Ring Chronologies: A Case Study from the Interior West, USA. Environmental and Ecological Statistics, 24(1), 131–150.
10. Gao, R., Sun, Y., & Ralescu, D. (2017). Order Statistics of Uncertain Random Variables with Application to k-out-of-n System. Fuzzy Optimization and Decision Making, 16(2), 159–181.
11. Sun, Y. (2016). Linear Regression with Interval-Valued Data. WIREs Computational Statistics, 8, 54–60. (Among the Top Ten Most Accessed Articles in 2015–2016).
12. Sun, Y., & Ralescu, D. (2015). A Normal Hierarchical Model and Minimum Contrast Estimation for Random Intervals. Annals of the Institute of Statistical Mathematics, 67, 313–333.
13. Sang, H., & Sun, Y. (2015). Simultaneous Sparse Model Selection and Coefficient Estimation for Heavy-Tailed Autoregressive Processes. Statistics, 49(1), 187–208.
14. Sun, Y. (2012). Modeling Long-Memory Time Series with Sparse Autoregressive Processes. Journal of Uncertain Systems, 6(4), 289–298.
15. Sun, Y., & Lin, X. (2012). Regularization for Stationary Multivariate Time Series. Quantitative Finance, 12(4), 573–586.

Profile Details

https://scholar.google.com/citations?hl=zh-CN&user=VbNi58QAAAAJ

https://www.researchgate.net/profile/Yan-Sun-69