Marina Vannucci
Professor
Department of Statistics
Rice University
Houston, TX
USA
Software and Datasets
This website contains links to codes developed by Dr. Vannucci's
research group, together with some of the datasets used in the publications.
Codes
- Matlab code
for the paper: Brown, P.J., Vannucci, M. and Fearn, T. (2002).
Bayes
model averaging with selection of regressors. Journal of the
Royal Statistical Society, Series B, 64(3), 519-536.
- Matlab code
for the paper: Sha, N., Vannucci, M., Tadesse, M.G., Brown, P.J., Dragoni,
I., Davies, N., Roberts, T.C., Contestabile, A., Salmon, N.,
Buckley, C. and Falciani, F. (2004).
Bayesian variable selection in multinomial probit models to identify molecular
signatures of disease stage. Biometrics, 60(3),
812-819.
- Matlab code
for the paper: Sha, N., Tadesse, M.G. and Vannucci, M. (2006).
Bayesian variable selection for the analysis of microarray data
with censored outcome. Bioinformatics, 22(18),
2262-2268. Supplementary material.
-
Software for the paper: Lennox, K.P., Dahl, D.B., Vannucci, M., Day, R. and Tsai, J.W. (2010).
A Dirichlet process mixture
of hidden Markov models for protein structure prediction.
Annals of Applied Statistics, 4(2), 916-942.
- Matlab code
for the paper: Stingo, F.C., Chen, Y.A., Vannucci, M., Barrier, M. and Mirkes,
P.E. (2010). A Bayesian graphical modeling
approach to microRNA regulatory network inference. Annals of Applied
Statistics, 4(4), 2024-2048.
- Matlab code
for the paper:
Savitsky, T., Vannucci, M. and Sha, N. (2011).
Variable Selection for
Nonparametric Gaussian Process Priors: Models and Computational Strategies.
Statistical Science, 26(1), 130-149.
- Matlab code
for the paper: Stingo, F.C., Chen, Y.A., Tadesse, M.G. and Vannucci, M.
(2011).
Incorporating Biological Information into Linear Models: A Bayesian Approach to the Selection of Pathways and Genes
. Annals of Applied
Statistics, 5(3), 1978-2002.
Datasets