Rossell, David

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

+34 93 542 1664
[email protected]

Personal Website

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).

Assistant: Susana Gough


Rossell, David, and Telesca, Donatello. Non-local priors for high-dimensional estimation. Journal of the American Statistical Association 112, 254-265, 2017.

Papaspiliopoulos, Omiros, and Rossell, David. Bayesian block-diagonal variable selection. Biometrika 2017 (in press).

Johnson, V. E., Rossell, D. Bayesian model selection in High-dimensional settings. Journal 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 Tests. Journal of the Royal Statistical Society B, 72, 143-170, 2010.

Rossell, D. GaGa: a Parsimonious and Flexible Model for Differential Expression Analysis. Annals of Applied Statistics, 3, 1035-1051, 2009.