Journal Articles
B. Bean, Y. Sun, and M. Maguire, “Interval-valued kriging for geostatistical mapping with imprecise inputs,” International Journal of Approximate Reasoning, in press.
Y. Sun, G. Lian, Z. Lu, J. Loveland, and I. Blackhurst (2020), “Modeling the variance of return intervals toward volatility prediction,” Journal of Time Series Analysis, 41, 492-519.
B. Plucinski, Y. Sun, S.-Y. S. Wang, R. R. Gillies, J. Eklund, and C.-C. Wang (2019), “Feasibility of multi-year forecast for the Colorado River water supply: time series modeling,” Water, 11, 2433, doi: 10.3390/w11122433.
E. McKinney, M. Chang, Y. Sun, and M. Maguire (2019), “Prediction of stress increase at ultimate in unbonded tendons using sparse principal component analysis,” International Journal of Concrete Structures and Materials, 13, 20, https://doi.org/10.1186/s40069-019-0339-y.
B. Bean, M. Maguire, and Y. Sun (2019), “Comparing design ground snow load prediction in Utah and Idaho,” Journal of Cold Regions Engineering, 33, 3, 04019010.
M. Chang, M. Maguire, and Y. Sun (2019), “Stochastic modeling of bridge deterioration using classification tree and logistic regression,” ASCE's Journal of Infrastructure Systems, 25, 1, 04018041.
Y. Sun, S.-Y. S. Wang, R. Li, B. Buckley, R. Gillies, K. Hansen (2018), “Feasibility of predicting Vietnam’s autumn rainfall regime based on tree ring record and decadal variability,” Climate, 6, 42, doi:10.3390/cli6020042.
B. Bean, M. Maguire, and Y. Sun (2017), “Predicting Utah ground snow loads with PRISM,” ASCE's Journal of Structural Engineering, 143, 9, 04017126.
Y. Sun, M. Bekker, J. DeRose, R. Kjelgren, and S.Y. Wang (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.
Y. Sun (2017), “Asymptotic tests for interval-valued means,” Statistics and Probability Letters, 121, 70-77.
M. Maguire, M. Chang, W. N. Collins, Yan Sun (2017), “Stress increase of unbonded tendons in continuous post-tensioned members: a critical review and analysis of the literature,” Journal of Bridge Engineering, 22, 2, 04016115.
M. Chang, M. Maguire, and Y. Sun (2017), “Framework for mitigating human bias in selection of explanatory variables for bridge deterioration modeling,” Journal of Infrastructure Systems, 23, 3, 04017002.
R. Gao, Y. Sun, and D. Ralescu (2016), “Order statistics of uncertain random variables with application to k-out-of-n system,” Fuzzy Optimization and Decision Making, 16, 2, 159-181.
Y. Sun (2016), “Linear regression with interval-valued data,” WIREs Computational Statistics, 8, 54-60.
R. Gillies, O.Y. Chung, J. DeRose, S.Y. Wang, and Y. Sun (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.
Y. Sun and D. Ralescu (2015), “A Normal hierarchical model and minimum contrast estimation for random intervals,” Ann Inst Stat Math, 67, 313-333.
H. Sang and Y. Sun (2015), “Simultaneous sparse model selection and coefficient estimation for heavy-tailed autoregressive processes,” Statistics, 49, 1, 187-208.
R. Gillies, S.Y. Wang, Y. Sun, and O.Y. Chung (2013), “Supportive empirical modeling for the forecast of monsoon precipitation in Nepal,” International Journal of Climatology, 33, 3047-3054.
Y. Sun (2012), “Modeling long-memory time series with sparse autoregressive processes,” Journal of Uncertain Systems, 6, 4, 289-298.
Y. Sun and X. Lin (2012), “Regularization for stationary multivariate time series,” Quantitative Finance, 12, 4, 573-586.
Book Chapters
Y. Sun and C. Li (2017), “Linear regression for interval-valued data in 𝐾𝐶(𝑅).” In Linear Regression: Models, Analysis and Applications (eds. Vera L. Beck), pp.117-148, Nova Science Publishers, New York.
Other Publications
M. Maguire, B. Bean and Y. Sun (2018), “Reflections on the Utah Snow Load Study,” Utah Engineers Council Journal.
B. Bean, M. Maguire and Y. Sun (2017), “Comparing ground snow load prediction methods in Utah,” Proceeding of ASCE Congress on Technical Advances, Duluth, Minnesota, September 10-13, 2017.
Y. Sun, *J. Loveland, and *I. Blackhurst (2014), “Modeling return range for volatility,” Proceedings of the International Work-Conference on Time Series Analysis (ITISE 2014), Granada, Spain, June 25-27, 2014, 1008-1019.
B. Bean, Y. Sun, and M. Maguire, “Interval-valued kriging for geostatistical mapping with imprecise inputs,” International Journal of Approximate Reasoning, in press.
Y. Sun, G. Lian, Z. Lu, J. Loveland, and I. Blackhurst (2020), “Modeling the variance of return intervals toward volatility prediction,” Journal of Time Series Analysis, 41, 492-519.
B. Plucinski, Y. Sun, S.-Y. S. Wang, R. R. Gillies, J. Eklund, and C.-C. Wang (2019), “Feasibility of multi-year forecast for the Colorado River water supply: time series modeling,” Water, 11, 2433, doi: 10.3390/w11122433.
E. McKinney, M. Chang, Y. Sun, and M. Maguire (2019), “Prediction of stress increase at ultimate in unbonded tendons using sparse principal component analysis,” International Journal of Concrete Structures and Materials, 13, 20, https://doi.org/10.1186/s40069-019-0339-y.
B. Bean, M. Maguire, and Y. Sun (2019), “Comparing design ground snow load prediction in Utah and Idaho,” Journal of Cold Regions Engineering, 33, 3, 04019010.
M. Chang, M. Maguire, and Y. Sun (2019), “Stochastic modeling of bridge deterioration using classification tree and logistic regression,” ASCE's Journal of Infrastructure Systems, 25, 1, 04018041.
Y. Sun, S.-Y. S. Wang, R. Li, B. Buckley, R. Gillies, K. Hansen (2018), “Feasibility of predicting Vietnam’s autumn rainfall regime based on tree ring record and decadal variability,” Climate, 6, 42, doi:10.3390/cli6020042.
B. Bean, M. Maguire, and Y. Sun (2017), “Predicting Utah ground snow loads with PRISM,” ASCE's Journal of Structural Engineering, 143, 9, 04017126.
Y. Sun, M. Bekker, J. DeRose, R. Kjelgren, and S.Y. Wang (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.
Y. Sun (2017), “Asymptotic tests for interval-valued means,” Statistics and Probability Letters, 121, 70-77.
M. Maguire, M. Chang, W. N. Collins, Yan Sun (2017), “Stress increase of unbonded tendons in continuous post-tensioned members: a critical review and analysis of the literature,” Journal of Bridge Engineering, 22, 2, 04016115.
M. Chang, M. Maguire, and Y. Sun (2017), “Framework for mitigating human bias in selection of explanatory variables for bridge deterioration modeling,” Journal of Infrastructure Systems, 23, 3, 04017002.
R. Gao, Y. Sun, and D. Ralescu (2016), “Order statistics of uncertain random variables with application to k-out-of-n system,” Fuzzy Optimization and Decision Making, 16, 2, 159-181.
Y. Sun (2016), “Linear regression with interval-valued data,” WIREs Computational Statistics, 8, 54-60.
R. Gillies, O.Y. Chung, J. DeRose, S.Y. Wang, and Y. Sun (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.
Y. Sun and D. Ralescu (2015), “A Normal hierarchical model and minimum contrast estimation for random intervals,” Ann Inst Stat Math, 67, 313-333.
H. Sang and Y. Sun (2015), “Simultaneous sparse model selection and coefficient estimation for heavy-tailed autoregressive processes,” Statistics, 49, 1, 187-208.
R. Gillies, S.Y. Wang, Y. Sun, and O.Y. Chung (2013), “Supportive empirical modeling for the forecast of monsoon precipitation in Nepal,” International Journal of Climatology, 33, 3047-3054.
Y. Sun (2012), “Modeling long-memory time series with sparse autoregressive processes,” Journal of Uncertain Systems, 6, 4, 289-298.
Y. Sun and X. Lin (2012), “Regularization for stationary multivariate time series,” Quantitative Finance, 12, 4, 573-586.
Book Chapters
Y. Sun and C. Li (2017), “Linear regression for interval-valued data in 𝐾𝐶(𝑅).” In Linear Regression: Models, Analysis and Applications (eds. Vera L. Beck), pp.117-148, Nova Science Publishers, New York.
Other Publications
M. Maguire, B. Bean and Y. Sun (2018), “Reflections on the Utah Snow Load Study,” Utah Engineers Council Journal.
B. Bean, M. Maguire and Y. Sun (2017), “Comparing ground snow load prediction methods in Utah,” Proceeding of ASCE Congress on Technical Advances, Duluth, Minnesota, September 10-13, 2017.
Y. Sun, *J. Loveland, and *I. Blackhurst (2014), “Modeling return range for volatility,” Proceedings of the International Work-Conference on Time Series Analysis (ITISE 2014), Granada, Spain, June 25-27, 2014, 1008-1019.