Yu-Sung Su
TitleCited byYear
A weakly informative default prior distribution for logistic and other regression models
A Gelman, A Jakulin, MG Pittau, YS Su
The Annals of Applied Statistics 2 (4), 1360-1383, 2008
11212008
R Package "R2jags: A Package for Running jags from R"
YS Su, M Yajima
R package version 0.03-08, URL http://CRAN. R-project. org/package= R2jags, 2009
563*2009
Multiple imputation with diagnostics (mi) in R: Opening windows into the black box
YS Su, AE Gelman, J Hill, M Yajima
4672011
R Package "arm: data analysis using regression and multilevel/hierarchical models"
A Gelman, YS Su
410*2008
The effect of institutional proximity in non-local university–industry collaborations: An analysis based on Chinese patent data
W Hong, YS Su
Research Policy 42 (2), 454-464, 2013
1322013
On the stationary distribution of iterative imputations
J Liu, A Gelman, J Hill, YS Su, J Kropko
Biometrika 101 (1), 155-173, 2013
712013
Income inequality and partisan voting in the United States
A Gelman, L Kenworthy, YS Su
Social Science Quarterly, 1203-1219, 2010
712010
Assessing lack of common support in causal inference using Bayesian nonparametrics: Implications for evaluating the effect of breastfeeding on children's cognitive outcomes
J Hill, YS Su
The Annals of Applied Statistics, 1386-1420, 2013
412013
It’s easy to produce chartjunk using Microsoft Excel 2007 but hard to make good graphs
YS Su
Computational Statistics & Data Analysis 52 (10), 4594-4601, 2008
382008
Could more civil society involvement increase public support for climate policy-making? Evidence from a survey experiment in China
T Bernauer, R Gampfer, T Meng, YS Su
Global Environmental Change 40, 1-12, 2016
222016
A default prior distribution for logistic and other regression models
A Gelman, A Jakulin, MG Pittau, Y Su
Annals of Applied Statistics 2 (4), 1360-1383, 2008
82008
What do we gain? Combining propensity score methods and multilevel modeling
YS Su, J Cortina
Combining Propensity Score Methods and Multilevel Modeling, 2009
72009
Development of data-driven influence model to relate the workplace environment to human error
PC Liao, H Shi, Y Su, X Luo
Journal of Construction Engineering and Management 144 (3), 04018003, 2018
52018
Causal inference of repeated observations: A synthesis of the propensity score methods and multilevel modeling
YS Su
Available at polmeth. wustl. edu/retrieve. php, 2008
32008
Estimating the influence of improper workplace environment on human error: Posterior predictive analysis
PC Liao, M Liu, YS Su, H Shi, X Luo
Advances in Civil Engineering 2018, 2018
12018
Adjusting Survey Response Distributions Using Multiple Imputation: A Simulation with External Validation
YSS Frank C.S. Liu
Survey Research: Method and Application, 7-32, 2015
1*2015
美国、欧盟、中国与拉美双边经贸关系的比较研究
苏毓淞
拉丁美洲研究 36 (3), 26-34, 2014
12014
作为可传授知识的拉丁美洲研究: 比较观察
陆楠楠, 苏毓淞
拉丁美洲研究 34 (2), 15-23, 2012
12012
Remittances and political liberalization
YS Su
City University of New York, 2009
12009
民主解固——西方自由民主制的危机
褚向磊, 苏毓淞
国外理论动态, 84-91, 2018
2018
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