Yajuan Si, Ph.D.
Affiliations: | 2012 | Statistical Science | Duke University, Durham, NC |
Area:
StatisticsGoogle:
"Yajuan Si"Parents
Sign in to add mentor| Jerome P. Reiter | grad student | 2012 | Duke | |
| (Nonparametric Bayesian Methods for Multiple Imputation of Large Scale Incomplete Categorical Data in Panel Studies.) | ||||
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Publications
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| Si Y, Zhou P. (2020) Bayes-raking: Bayesian Finite Population Inference with Known Margins Journal of Survey Statistics and Methodology |
| Makela S, Si Y, Gelman A. (2018) Bayesian inference under cluster sampling with probability proportional to size. Statistics in Medicine |
| Si Y, Reiter JP, Hillygus DS. (2016) Bayesian latent pattern mixture models for handling attrition in panel studies with refreshment samples Annals of Applied Statistics. 10: 118-143 |
| Si Y, Pillai NS, Gelman A. (2015) Bayesian nonparametric weighted sampling inference Bayesian Analysis. 10: 605-625 |
| Si Y, Reiter JP, Hillygus DS. (2015) Semi-parametric selection models for potentially non-ignorable attrition in panel studies with refreshment samples Political Analysis. 23: 92-112 |
| Makela S, Si Y, Gelman A. (2014) Statistical graphics for survey weights | Gráficas estadísticas de pesos de muestreo Revista Colombiana De Estadistica. 37: 285-295 |
| Si Y, Reiter JP. (2013) Nonparametric Bayesian Multiple Imputation for Incomplete Categorical Variables in Large-Scale Assessment Surveys Journal of Educational and Behavioral Statistics. 38: 499-521 |
| Deng Y, Hillygus DS, Reiter JP, et al. (2013) Handling attrition in longitudinal studies: The case for refreshment samples Statistical Science. 28: 238-256 |
| Si Y, Reiter JP. (2011) A comparison of posterior simulation and inference by combining rules for multiple imputation Journal of Statistical Theory and Practice. 5: 335-347 |