Howard Bondell is Professor of Statistical Data Science in the School of Mathematics and Statistics at the University of Melbourne, where he has been since 2018. From 2021, Professor Bondell serves as Head of School, and is a current ARC Future Fellow (2020-2024), and Co-Director of the Melbourne Centre for Data Science.

Professor Bondell received his Ph.D. in Statistics from Rutgers University in 2005 and immediately commenced his academic career in the Department of Statistics at North Carolina State University. He was elected Fellow of the American Statistical Association in 2017.

His current research interests include: model selection, robust estimation, regularisation, Bayesian methods, and all aspects of modelling and handling uncertainty in statistical and machine learning approaches.

For up-to-date links to publications and other details, see here.

Google Scholar Page

Here is some code related to previous published work. The large majority of Professor Bondell’s recent publications have affiliated code that is either included in the supplementary materials of the publishing journal or linked to a repository listed in the paper, rather than archived here.

• Bondell, H. D., and Stefanski, L. A. (2013). Efficient robust regression via two-stage generalized empirical likelihood. Journal of the American Statistical Association 108, 644-655.

R Code
Help and Example file

• Sharma, D. B., Bondell, H. D., and Zhang, H. H. (2013). Consistent group identification and variable selection in regression with correlated predictors. Journal of Computational and Graphical Statistics 22, 319-340.

R code
Help and Example file

• Jiang, L., Wang, H. J., and Bondell, H. D. (2013). Interquantile shrinkage in regression models. Journal of Computational and Graphical Statistics 22, 970-986.

R code
Help and Example file

• Bondell, H. D., and Reich, B. J. (2012). Consistent high-dimensional Bayesian variable selection via penalized credible regions. Journal of the American Statistical Association 107, 1610-1624.

R code
Help and Example file

• Gunes, F. and Bondell, H. D. (2012). A confidence region approach to tuning for variable selection. Journal of Computational and Graphical Statistics 21, 295-314.

R code

• Storlie, C. B., Bondell, H. D., Reich, B. J. and Zhang, H. H. (2011). Surface estimation, variable selection, and the nonparametric oracle property. Statistica Sinica 21, 679-705.

R Package

• Reich, B. J., Bondell, H. D., and Li, L. (2011). Sufficient Dimension Reduction via Bayesian Mixture Modeling. Biometrics 67, 886-895.

R code
Help and Example file

• Reich, B. J., and Bondell, H. D. (2011). A spatial Dirichlet process mixture model for clustering population genetics data. Biometrics 67, 381-390.

R code
Help and Example file

• Bondell, H. D., Reich, B. J., and Wang, H. (2010). Non-crossing quantile regression curve estimation. Biometrika 97, 825-838.

R code
Help and Example file

• Bondell, H. D., Krishna, A., and Ghosh, S. K. (2010). Joint variable selection of fixed and random effects in linear mixed-effects models. Biometrics 66, 1069-1077.

R code
Help and Example file

• Reich, B. J., Bondell, H. D., and Wang, H. (2010). Flexible Bayesian quantile regression for independent and clustered data. Biostatistics 11, 337-352.

R code for Independent Data
R Code for Clustered Data    (1) Conditional Model     (2) Marginal Model

• Tzeng, J.-Y. and Bondell, H. D. (2010). A comprehensive approach to haplotype-specific analysis by penalized likelihood. European Journal of Human Genetics 18, 95-103.

R code
Example file

• Bondell, H. D. and Reich, B. J. (2009). Simultaneous factor selection and collapsing levels in ANOVA. Biometrics 65, 169-177.

R code
Help and Example file

• Reich, B. J., Storlie, C. B., and Bondell, H. D. (2009). Variable selection in Bayesian smoothing spline ANOVA models: Application to deterministic computer codes. Technometrics 51, 110-120.

R code

• Krishna, A., Bondell, H. D., and Ghosh, S. K. (2009). Bayesian variable selection using an adaptive powered correlation prior. Journal of Statistical Planning and Inference 139, 2665-2674.

R code
Help and Example file

• Bondell, H. D. and Reich, B. J. (2008). Simultaneous regression shrinkage, variable selection and clustering of predictors with OSCAR. Biometrics 64, 115-123.

Matlab code

• Bondell, H. D. (2007). Testing goodness-of-fit in logistic case-control studies. Biometrika 94, 487-495.

R code
Example

Click Here to View CV in PDF Format

Howard Bondell
Professor of Statistical Data Science
Head, School of Mathematics and Statistics
The University of Melbourne, VIC 3010, Australia

office:  G33, Peter Hall Building
email: howard.bondell AT unimelb DOT edu DOT au