Y
Yu-Sung Su
Researcher at Tsinghua University
Publications - 25
Citations - 12213
Yu-Sung Su is an academic researcher from Tsinghua University. The author has contributed to research in topics: Imputation (statistics) & Causal inference. The author has an hindex of 13, co-authored 25 publications receiving 11128 citations. Previous affiliations of Yu-Sung Su include New York University & City University of New York.
Papers
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Book
Data Analysis Using Regression and Multilevel/Hierarchical Models
Andrew Gelman,Yu-Sung Su +1 more
TL;DR: Data Analysis Using Regression and Multilevel/Hierarchical Models is a comprehensive manual for the applied researcher who wants to perform data analysis using linear and nonlinear regression and multilevel models.
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A weakly informative default prior distribution for logistic and other regression models
TL;DR: In this paper, the authors propose a new prior distribution for logistic regression models, called Cauchy prior, constructed by first scaling all nonbinary variables to have mean 0 and standard deviation 0.5, and then placing independent Student-t prior distributions on the coefficients.
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Multiple Imputation with Diagnostics (mi) in R: Opening Windows into the Black Box
TL;DR: The mi package in R has features that allow the user to get inside the imputation process and evaluate the reasonableness of the resulting models and imputations, and uses Bayesian models and weakly informative prior distributions to construct more stable estimates of imputation models.
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A weakly informative default prior distribution for logistic and other regression models
TL;DR: In this article, the authors propose a new prior distribution for classical logistic regression models, constructed by first scaling all nonbinary variables to have mean 0 and standard deviation 0.5, and then placing independent Student-$t$ prior distributions on the coefficients.
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The effect of institutional proximity in non-local university-industry collaborations: An analysis based on Chinese patent data
Wei Hong,Yu-Sung Su +1 more
TL;DR: Based on Chinese patent data from 1985 to 2004, the authors provided a comprehensive analysis of formal university-industry collaborations in China, with a specific focus on the compound effect of geographic distance and other predictors.