Yajuan Si

  1. Si, Y., Reiter, J. P. and Hillygus, S. (2016), Bayesian latent pattern mixture models in panel studies with refreshment samples, The Annals of Applied Statistics, 10(1), 118-143.

  2. Early, D., Berg, J., Alicea, S., Si, Y., Aber, J., Ryan, R. and Deci, E. (2016), The impact of Every Classroom, Every Day on student achievement: Results from a school-randomized efficacy trial, Journal of Research on Educational Effectiveness, 9(1), 3-29.

  3. Si, Y., Pillai, N. and Gelman, A. (2015), Bayesian nonparametric weighted sampling inference, Bayesian Analysis, 10(3), 605-625.

  4. Si, Y., Reiter, J. P. and Hillygus, S. (2015), Semi-parametric selection models for potentially non-ignorable attrition in panel studies with refreshment samples, Political Analysis, 23, 92 - 112.

  5. Makela, S., Si, Y. and Gelman, A. (2014), Statistical graphics for survey weights, Journal of Revista Columbiana De Estadistica, 37, 285-295.

  6. Si, Y. and Reiter, J.P. (2013), Nonparametric Bayesian multiple imputation for incomplete categorical variables in large-scale assessment surveys, Journal of Educational and Behavioral Statistics, 38, 499 - 521.

  7. Deng, Y, Hillygus, S., Reiter, J.P., Si, Y. and Zheng, S. (2013), Handling attrition in longitudinal studies: The case for refreshment samples, Statistical Science, 22, 238 - 256.

  8. Si, Y. and Reiter, J.P. (2011), A comparison of posterior simulation and inference by combining rules for multiple imputation, Journal of Statistical Theory and Practice, 5, 335 - 347.

  9. Si, Y. and Reiter, J.P. (2010), A new approach to protect confidentiality for census microdata with missing values, JSM Proceedings, Section on Survey Research Methods. Vancouver, CA.