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About me
Sining Zhang is a Ph.D. candidate in Applied Statistics at the Department of Mathematics, Statistics, and Physics at Wichita State University under the supervision of Dr. Mai Dao. Her research focuses on Bayesian quantile regression for longitudinal data, with an emphasis on partially collapsed Gibbs sampling, Markov chain Monte Carlo efficiency, and variable selection for both continuous and binary outcomes.