Publications by authors named "Yu-Zhu Tian"

Article Synopsis
  • The article introduces a Bayesian method to estimate marginal conditional quantiles for multi-response longitudinal data using a multivariate mixed effects model.
  • It utilizes the multivariate asymmetric Laplace distribution to build the model's likelihood, and applies penalization priors for effective Bayesian inference in high-dimensional settings.
  • The method is validated through Monte Carlo simulations and is demonstrated with a longitudinal medical dataset related to primary biliary cirrhosis.
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