Yan Sun Ph.D.

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An asterisk (*) at the end of a publication indicates that it has not been peer-reviewed.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

• Sun, Y., 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
• 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
• 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
• 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.