Rossell, David

Ramon y Cajal Researcher
Despatx: 20.1E46
PhD Rice University Houston

+34 93 542 1664
[email protected]
Ramon Trias Fargas, 25-27 08005 Barcelona

Google Schoolar LinkGOOGLE SCHOLAR OORCID LinkORCID


 

RESEARCH INTERESTS: Developing methodology for the statistical analysis of complex data (high-dimensional statistics, applications to biomedicine an social sciences, Bayesian statistics, computations and experimental design).

 

SELECTED PUBLICATIONS:

  • Avalos-Pacheco A., Rossell D., Savage R (2020). Heterogeneous large datasets integration using Bayesian factor regression. Bayesian Analysis (in press)
  • Rossell D, Rubio FJ. Tractable Bayesian variable selection: beyond normality (2018). Journal of the American Statistical Association, 113, 524, 1742-1758
  • Rossell, David, and Telesca, Donatello. Non-local priors for high-dimensional estimationJournal of the American Statistical Association,112, 254-265, 2017
  • Johnson, V. E., Rossell, D. Bayesian model selection in High-dimensional settingsJournal of the American Statisticial Association, vol. 107, Issue 498:649-660, 2012.
  • Johnson, V. E., Rossell, D. Non-Local Prior Densities for Default Bayesian Hypothesis TestsJournal of the Royal Statistical Society