Yan Sun Ph.D.
Mathematics and Statistics
Assistant Department Head (Graduate Studies) | Associate Professor
![Yan Sun](/math/images/people/YanSunThumb.jpg)
Contact Information
Office Location: Animal Science (ANSC) 308Phone: (435) 797-2861
Email: yan.sun@usu.edu
Awards
The Henry Laws Fellowship Award, 2011
Department of Mathematical Sciences, University of Cincinnati
Best Paper Award, 2011
International Association of Information and Management Sciences
Student/Young Researcher Best Paper Award, 2010
Risk Section of the American Statistical Association
Taft Graduate Student Dissertation Fellowship, 2010
Charles Phelps Taft Research Center, University of Cincinnati
University Graduate Scholarship, Teaching Assitantship, and Enhanced Taft Fellowship, 2009
University of Cincinnati
People Scholarship, 2003
Department of Mathematics, Fundan University, China
- Sun, Y., Lin, C., (2017). Linear regression for interval-valued data in K_C(R): Linear Regression: Models, Analysis and Applications. Nova Science Publishers
Publications | Book Chapters
An asterisk (*) at the end of a publication indicates that it has not been peer-reviewed.
Publications | Journal Articles
Academic Journal
- Wagstaff, J., Bean, B., Wheeler, J., Maguire, M., Al-Rubaye, S., Sun, Y., (2023). Adaptive mapping of design ground snow loads in the conterminous United States. Journal of Structural Engineering, 150:1
- Pomeyie, K., Bean, B., Sun, Y., (2023). Comparing extreme value estimation techniques for short-term snow accumulations. Journal of Data Science, 21:2
- Bean, B., Sun, Y., Maguire, M., (2022). Interval-valued Kriging models for geostatistical mapping with imprecise inputs. International Journal of Approximate Reasoning, 140
- Geng, J., Jensen, G., Jackson, K., Pontsler, J., Rengarajan, V., Sun, Y., Britt, D.W, Huang, Y., (2022). Versatile activity and morphological effects of zinc oxide submicron particles as anticancer agents. Nanomedicine, 17:9, 627-644.
- 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. doi: 10.1111/jtsa.12518
- Bean, B., Maguire, M., Sun, Y., (2019). Comparing design ground snow load prediction in Utah and Idaho. Journal of Cold Regions Engineering, 33:3
- Plucinski, B., Sun, Y., Wang, S., Gillies, R.R, Eklund, J., Wang, C., , (2019). Feasibility of Multi-Year Forecast for the Colorado River Water Supply: Time Series Modeling. Water, 11:2433, doi: doi: 10.3390/w11122433
- McKinney, E., Chang, M., Maguire, M., Sun, Y., (2019). Prediction of Stress Increase at Ultimate in Unbonded Tendons using Sparse Principal Component Analysis. International Journal of Concrete Structures and Materials, 13:20, doi: https://doi.org/10.1186/s40069-019-0339-y
- Chang, M., Sun, Y., (2019). Stochastic modeling of bridge deterioration using classification tree and logistic regression. , 25:1, 04018041.
- Sun, Y., Wang, S., Li, R., Buckley, B., Gillies, R.R, Hansen, K., (2018). Feasibility of predicting Vietnam’s autumn rainfall regime based on tree ring record and decadal variability. Climate, 6:42, doi: 10.3390/cli6020042
- Bean, B., Maguire, M., Sun, Y., (2017). Predicting Utah ground snow loads with PRISM. Journal of Structural Engineering, 143:9
- Sun, Y., Bekker, M., DeRose, J., Kjelgren, R.K, Wang, S., (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.
- Sun, Y., (2017). Stress increase of unbonded tendons in continuous post-tensioned members. Journal of Bridge Engineering, 22:2, 04016115.
- Chang, M., Maguire, M., Sun, Y., (2017). Framework for Mitigating Human Bias in Selection of Explanatory Variables for Bridge Deterioration Modeling. ASCE Journal of Infrastructure Systems, 23:3, 04017002.
- 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.
- Sun, Y., (2017). Asymptotic tests for interval-valued means. Statistics and Probability Letters, 121, 70-77.
- Sun, Y., (2016). Linear regression with interval-valued data. WIREs Computational Statistics, 8, 54-60.
- Sang, H., Sun, Y., (2015). Simultaneous sparse model selection and coefficient estimation for heavy-tailed autoregressive processes. Statistics, 49:1, 187-208.
- Gillies, R.R, Chung, O., DeRose, J., Wang, S., Sun, Y., (2015). Added value from 576 years of tree-ring records in the prediction of the Great Salt Lake level. Journal of Hydrology, 529, 962-968.
- 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.
- Gillies, R.R, Wang, S., Sun, Y., Chung, O., (2013). Supportive empirical modeling for the forecast of monsoon precipitation in Nepal. International Journal of Climatology, 33, 3047-3054.
- Sun, Y., (2012). Modeling long-memory time series with sparse autoregressive processes. Journal of Uncertain Systems, 6:4, 289-298.
- Sun, Y., Lin, X., (2012). Regularization for stationary multivariate time series. Quantitative Finance, 12:4, 573-586.
An asterisk (*) at the end of a publication indicates that it has not been peer-reviewed.
Publications | Technical Reports
Research Reports
Other Reports
An asterisk (*) at the end of a publication indicates that it has not been peer-reviewed.
Publications | Other
Magazine/Trade Publications
An asterisk (*) at the end of a publication indicates that it has not been peer-reviewed.