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My name is Antonio Linero; welcome to my website! I am currently an Assistant Professor in the Department of Statistics at Florida State University. I completed my PhD in Statistics at the University of Florida, under the direction of Professor Hani Doss at the University of Florida and Professor Michael Daniels at the University of Texas. I received my B.S. from the University of Florida where I studied Finance.


My research is broadly focused on developing flexible Bayesian methods. My work has focused on developing appropriate Bayesian methods for complex longitudinal data, as well as developing model selection tools within the Bayesian nonparametric framework. I am also pursuing research in Bayesian nonparametrics for causal inference.

A related stream of work concerns developing Bayesian methods for the analysis of incompletely observed data, which is potentially missing not at random (MNAR). MNAR missingness introduces identifiability problems, which raises serious questions about how to conduct causal inference in, e.g., a randomized clinical trial. The Bayesian approach provides, on the one hand, benefits for conducting inference in the presence of unidentifiability, but on the other hand Bayesian methods may possess suboptimal frequentist properties unless one is very careful.


  • Varbanov, R., Chicken, E., and Linero, A.R.. (2017) Wavelet-based Bayesian Profile Monitoring. Proceeedings of the 2017 and Industrial Systems and Engineering Research Conference. To appear.

  • Linero, A.R. and Daniels, M.J. (2017) A General Bayesian Nonparametric Approach for Missing Outcome Data. Submitted to Statistical Science. PDF, Supplemental Material.

    Posterior densities
  • Linero, A.R. (2016) Bayesian nonparametric analysis of longitudinal studies in the presence of informative missingness. Biometrika. To appear. First Draft, Supplemental Material.

  • Linero, A.R. (2016) Bayesian Regression Trees for High Dimensional Prediction and Variable Selection. Journal of the American Statistical Association. To appear.

    Variable Selection
  • Piekarewicz, J., Linero, A.R., Giuliani, P., and Chicken, E. (2016) The power of two: Assessing the impact of a second measurement of the weak-charge form factor of 208Pb. Physical Reviews, C. 94(3), 034316. PDF.

    Select Point
  • Daniels, M.J. and Linero, A.R. (2015) Bayesian Nonparametrics for Missing Data in Longitudinal Clinical Trials. In Nonparametric Bayesian Inference in Biostatistics.

    Heatmap of pairwise clustering
  • Linero, A.R. and Daniels, M. (2015) A Flexible Bayesian Approach to Monotone Missing Data in Longitudinal Studies with Informative Dropout with Application to a Schizophrenia Clinical Trial. Journal of the American Statistical Association, 110(509), 45-55. PDF, Supplemental Material.

    Contour plot
  • Linero, A.R. and Rosalsky, A. (2013) On the Toeplitz Lemma, Convergence in Probability, and Mean Convergence. Stochastic Analysis and Applications, 31(4), 684-694. PDF

    Contour plot


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