Yan Sun Ph.D.

Mathematics and Statistics

Assistant Department Head (Graduate Studies) | Associate Professor


Yan Sun

Contact Information

Office Location: Animal Science (ANSC) 308
Phone: (435) 797-2861
Email: yan.sun@usu.edu

Educational Background

MS, Statistics, University of Cincinnati, 2014
PhD, Mathematics, (Statistics), University of Cincinnati, 2011
BS, Mathematics, Fundan University, 2005

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


    Publications | Book Chapters

  • Sun, Y., Lin, C., (2017). Linear regression for interval-valued data in K_C(R): Linear Regression: Models, Analysis and Applications. Nova Science Publishers

An asterisk (*) at the end of a publication indicates that it has not been peer-reviewed.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.

        Teaching

        STAT 6810 - Topics in Statistics (Topic), Fall 2023
        STAT 6720 - Mathematical Statistics II, Spring 2023
        STAT 6180 - Financial Time Series, Fall 2022
        STAT 5200 - Analysis of Designed Experiments, Spring 2022
        STAT 5810, 6810 - Topics in Statistics, Fall 2021
        STAT 5200 - Analysis of Designed Experiments, Spring 2021
        STAT 6720 - Mathematical Statistics II, Spring 2021
        STAT 6180 - Financial Time Series, Fall 2020
        STAT 6950 - Directed Reading and Conference, Spring 2019
        STAT 6720 - Mathematical Statistics II, Spring 2019
        STAT 6710 - Mathematical Statistics I, Fall 2018
        STAT 6910 - Seminar in Statistics, Fall 2018
        STAT 2000 - Statistical Methods, Spring 2018
        STAT 7810 - Topics in Statistics (Topic), Spring 2018
        STAT 2000 - Statistical Methods, Fall 2017
        STAT 6910 - Seminar in Statistics, Summer 2017
        STAT 6720 - Mathematical Statistics II, Spring 2017
        STAT 6710 - Mathematical Statistics I, Fall 2016
        STAT 6910 - Seminar in Statistics, Fall 2016
        MATH 5710 - Introduction to Probability, Fall 2015
        MATH 5720 - Introduction to Mathematical Statistics, Spring 2015
        STAT 6720 - Mathematical Statistics II, Spring 2015
        STAT 6710 - Mathematical Statistics I, Fall 2014
        STAT 6910 - Seminar in Statistics, Fall 2014
        STAT 5810 - Topics in Statistics, Fall 2014
        MATH 5720 - Introduction to Mathematical Statistics, Spring 2014
        STAT 6180 - Time Series, Fall 2013
        MATH 5810 - Topics in Mathematics, Fall 2013
        MATH 5720 - Introduction to Mathematical Statistics, Spring 2013
        MATH 5710 - Introduction to Probability, Fall 2012
        STAT 6710,7710 - Mathematical Statistics I, Fall 2012
        STAT 6820 - Topics in Statistics (Topic), Spring 2012
        STAT 6710,7710 - Mathematical Statistics I, Fall 2011
        STAT 6180 - Time Series, Fall 2011

        Graduate Students Mentored

        Kingspride Duah, Mathematics & Statistics
        Zac Rios, Mathematics & Statistics
        Paul Gaona-Partida, Mathematics & Statistics 2023
        Brennan Bean, Mathematics & Statistics 2019
        Chih-Ching Yeh, Mathematics & Statistics 2017
        Eric McKinney, Mathematics & Statistics 2017
        Isaac Blackhurst, Mathematics & Statistics 2014