Adrian Dobra's picture

Adrian Dobra
Associate Professor of Statistics & Nursing
University of Washington

About me

Teaching

Research

Google Citations

Funded projects

Contact & Office Hours

Research interests · Publications · Software

Research interests

    Graphical models, stochastic computing and multidimensional contingency tables, Bayesian statistics, applications in the social sciences, spatial epidemiology, genomics and disclosure limitation.

Google Scholar Citations

Publications

2011
(1) Dobra, A., Lenkoski, A. and Rodriguez, A. (2011). Bayesian inference for general Gaussian graphical models with application to multivariate lattice data, Journal of the American Statistical Association, 106, 1418-1433. [PDF]
(2) Dobra, A. and Lenkoski, A. (2011). Copula Gaussian graphical models and their application to modeling functional disability data. Annals of Applied Statistics, 5, 969-993. [PDF]
(3) Rodriguez, A., Lenkoski, A. and Dobra, A. (2011). Sparse covariance estimation in heterogeneous samples, Electronic Journal of Statistics, 5, 981-1014. [PDF]
(4) Dobra, A. (2011). Dynamic Markov bases. Journal of Computational and Graphical Statistics, accepted for publication. [PDF]
(5) Lenkoski, A. and Dobra, A. (2011). Computational aspects related to inference in Gaussian graphical models with the G-Wishart prior. Journal of Computational and Graphical Statistics, 20, 140-157. [PDF]
(6) Voss, J.G., Dobra, A., Morse, C., Kovacs, J.A., Danner, R.L., Munson, P.J., Logan, C., Rangel, Z., Adelsberger, J.W., McLaughlin, M., Adams, L.D., Raju, R. and Dalakas, M.C. (2011). Fatigue-related HIV disease gene-networks identified in CD14+ cells isolated from HIV infected patients - Part I Research Findings. Biological Research for Nursing, accepted for publication. [PDF]
(7) Voss, J.G., Dobra, A., Morse, C., Kovacs, J.A., Danner, R.L., Munson, P.J., Logan, C., Rangel, Z., Adelsberger, J.W., McLaughlin, M., Adams, L.D., Raju, R. and Dalakas, M.C. (2011). Fatigue-related HIV disease gene-networks identified in CD14+ cells isolated from HIV infected patients - Part II Statistical Analysis. Biological Research for Nursing, accepted for publication. [PDF]
(8) Wakefield, J., Haneuse, S., Dobra, A. and Teeple, B. (2011). Bayes computation for ecological inference. Statistics in Medicine, accepted for publication, available online. [PDF]
(9) Klimova, A., Rudas, T. and Dobra, A. (2011). Relational models for contingency tables, Journal of Multivariate Analysis, accepted for publication, available online. [PDF]
2010
(1) Dobra, A. and Fienberg, S.E. (2010). The generalized shuttle algorithm. Algebraic and geometric methods in statistics, Volume dedicated to Professor Giovanni Pistone, Cambridge University Press (P. Gibilisco, E. Riccomagno, M.P. Rogantin and H.P. Wynn, eds.), 135-156. [PDF]
(2) Dobra, A., Briollais, L., Jarjanazi, H., Ozcelik, H. and Massam, H. (2010). Applications of the mode oriented stochastic search (MOSS) algorithm for discrete multi-way data to genomewide studies. Bayesian Modeling in Bioinformatics, Taylor & Francis (D. Dey, S. Ghosh and B. Mallick, eds.), 63-93. [PDF]
(3) Dobra, A., Eicher, T.S. and Lenkoski, A. (2010). Modeling uncertainty in macroeconomic growth determinants using Gaussian graphical models. Statistical Methodology, 7, 292-306. [PDF]
(4) Dobra, A. and Massam, H. (2010). The mode oriented stochastic search (MOSS) algorithm for log-linear models with conjugate priors. Statistical Methodology, 7, 240-253. [PDF]
2009
(1) Dobra, A. (2009). Variable selection and dependency networks for genomewide data. Biostatistics, 10, 621-639. [PDF]
(2) Massam, H., Liu, J. and Dobra, A. (2009). A conjugate prior for discrete hierarchical log-linear models. Annals of Statistics, 37, 3431-3467. [PDF]
(3) Dobra, A., Fienberg, S.E., Rinaldo, A., Slavkovic, A. and Zhou, Y. (2009). Algebraic statistics and contingency table problems: estimation and disclosure limitation. IMA Volume 149 on Emerging applications of algebraic geometry (S. Sullivant and M. Putinar, eds.). Springer Science, 63-88. [PDF]
2007
(1) Hans, C., Dobra, A. and West, M. (2007). Shotgun stochastic search for "large p" regression. Journal of the American Statistical Association, 102, 507-516. [PDF]
(2) Hans, C., Quanli, W., Dobra, A. and West, M. (2007). SSS: Software for high-dimensional Bayesian regression model search. Bulletin of the International Society for Bayesian Analysis, 14, 8-9. [PDF]
2006
(1) Dobra, A., Tebaldi, C. and West, M. (2006). Data augmentation in multi-way contingency tables with fixed marginal totals. Journal of Statistical Planning and Inference, 136, 355-372. [PDF]
(2) Huber, M., Chen, Y., Dinwoodie, I., Dobra, A. and Nicholas, M. (2006). Monte Carlo algorithms for Hardy-Weinberg proportions. Biometrics, 62, 49-53. [PDF]
2005
(1) Chen, Y., Dinwoodie, I., Dobra, A. and Huber, M. (2005). Lattice points, contingency tables, and sampling. Contemporary Mathematics, 374, 65-78. [PDF]
(2) Jones, B., Carvalho, C., Dobra, A., Hans, C., Carter, C. and West, M. (2005). Experiments in stochastic computation for high dimensional graphical models. Statistical Science, 20, 388-400. [PDF]
(3) DeLong, M., Yao, G., Wang, Q., Dobra, A., Black, E.P., Chang, J.T., Bild, A., West, M., Nevins, J.R. and Dressman, H. (2005). DIG - a system for gene annotation and functional discovery. Bioinformatics, 21, 2957-2959. [PDF]
(4) Rich, J.N., Hans, C., Jones, B., Iversen, E.S., McClendon, R.E., Rasheed, B.K.A., Dobra, A., Dressman, H.K., Bigner, D.D., Nevins, J.R. and West, M. (2005). Gene expression profiling and analysis in graphical association studies in glioblastoma survival. Cancer Research, 65, 4051-4058. [PDF]
2004
(1) Dobra, A. and Sullivant, S. (2004). A divide-and-conquer algorithm for generating Markov bases of multi-way tables. Computational Statistics, 19, 347-366. [PDF]
(2) Dobra, A., Hans C., Jones, B., Nevins J.R., Yao, G. and West, M. (2004). Sparse graphical models for exploring gene expression data. Journal of Multivariate Analysis, special issue on Multivariate Methods in Genomic Data Analysis, 90, 196-212. [PDF]
2003
(1) Dobra, A. (2003). Markov bases for decomposable graphical models. Bernoulli, 9, No. 6, 1-16. [PDF]
(2) Dobra, A., Karr, A. and Sanil A. (2003). Preserving confidentiality of high-dimensional tabulated data: statistical and computational issues. Statistics and Computing, 13, 363-370. [PDF]
(3) Dobra, A., Fienberg, S. E. and Trottini, M. (2003). Assessing the risk of disclosure of confidential categorical data. Bayesian Statistics 7 (J. M. Bernardo, M. J. Bayarri, J. O. Berger, A. P. Dawid, D. Heckerman, A. F. M. Smith and M. West, eds.), Oxford University Press, 125-144. [PDF]
(4) Dobra, A. and Fienberg, S. E. (2003). How large is the World Wide Web? Web Dynamics (M. Levene and A. Poulovassilis, eds.), Springer-Verlag, 23-45. [PDF]
(5) Dobra, A. and Fienberg, S. E. (2003). Bounding entries in multi-way contingency tables given a set of marginal totals. In Y. Haitovsky, H. R. Lerche and Y. Ritov, editors, Foundations of Statistical Inference, Proceedings of the Shoresh Conference 2000, 3-16. Springer-Verlag, Berlin. [PDF]
2002
(1) Dobra, A., Karr, A., Sanil, A. and Fienberg, S. E. (2002). Software systems for tabular data releases. International Journal of Uncertainty, Fuzziness and Knowledge Based Systems, special issue on Aggregation and Risk Assessment on Statistical Disclosure Control, 10, 529-544. [PDF]
(2) Karr, A., Dobra, A. and Sanil, A. (2002). Table servers: protecting confidentiality in tabular data releases. Communications of the ACM, special issue on Digital Government, 46, No. 1, 57-58. [PDF]
(3) Dobra, A., Erosheva, E. A. and Fienberg, S. E. (2002). Disclosure limitation methods based on bounds for large contingency tables with application to disability data. In H. Bozdogan, ed., Statistical Data Mining and Knowledge Discovery, CRC Press. [PDF]
2001
(1) Dobra, A. and Fienberg, S. E. (2001). Bounds for cell entries in contingency tables induced by fixed marginal totals. UNECE Statistical Journal, 18, 363-371. [PDF]
2000
(1) Dobra, A. and Fienberg, S. E. (2000). Bounds for cell entries in contingency tables given marginal totals and decomposable graphs. Proceedings of the National Academy of Sciences, 97, No. 22, 11885-11892. [PDF]

Software

BMSS Learns dependency networks with continuous and binary variables.
GSA Calculates bounds, enumerates all feasible tables and performs exact testing for multi-way contingency tables with fixed marginal totals.
MC3TABLES Performs the MC3 stochastic search for decomposable, graphical and hierarchical log-linear models.
MOSSTABLES Performs the mode oriented stochastic search (MOSS) for cluster, decomposable, graphical and hierarchical log-linear models.
MOSSLARGETABLES Performs the mode oriented stochastic search (MOSS) for regressions with discrete variables. It also does the MOSS log-linear search for each relevant regression.