Research Interests

My main area of research interest is the development of Bayesian methodology for the analysis of modern, complex datasets. I am particularly interested in the development of computational methods to address these problems, with recent focus on the use of parallel computing in statistics.

Specific methodological research areas include the problems of variable selection and model uncertainty in contexts of regression, prediction and complex multivariate modeling with many variables. A key element of this research is the development of stochastic search and MCMC methods for exploring large model spaces.


Links to Research Activities

Papers and Publications

  1. Chris Hans. (March, 2008). Bayesian Lasso regression. Technical Report No. 810, Department of Statistics, The Ohio State University, Columbus, OH 43210.

  2. Chris Hans, Adrian Dobra and Mike West. (2007). Shotgun stochastic search for "large p" regression. Journal of the American Statistical Association, 102, 507-516.

  3. H.K. Dressman, C. Hans, A. Bild, J. Olson, E. Rosen, P.K. Marcom, V. Liotcheva, E. Jones, Z. Vujaskovic, J. Marks, M.W. Dewhirst, M. West, J.R. Nevins and K. Blackwell. (2006). Gene expression profiles of multiple breast cancer phenotypes and response to neoadjuvant chemotherapy. Clinical Cancer Research, 12, 819-826

  4. Chris Hans and David B. Dunson (2005). Bayesian Inferences on Umbrella Orderings. Biometrics, 61, 1018-1026.

  5. Beatrix Jones, Carlos Carvalho, Adrian Dobra, Chris Hans, Chris Carter and Mike West (2005). Experiments in stochastic computation for high-dimensional graphical models. Statistical Science, 20, 388-400.

  6. Jeremy N. Rich, Chris Hans, Beatrix Jones, Edwin S. Iversen, Roger E. McClendon, B.K. Ahmed Rasheed, Adrian Dobra, Holly K. Dressman, Darell D. Bigner, Joseph R. Nevins and Mike West (2005). Gene expression profiling and genetic markers in glioblastoma survival. Cancer Research, 65, 4051-4058.

  7. Adrian Dobra, Chris Hans, Beatrix Jones, Joseph R. Nevins, Guang Yao and Mike West (2004). Sparse graphical models for exploring gene expression data. Journal of Multivariate Analysis, 90, 196-212.

  8. David A. van Dyk and Christopher M. Hans (2002). Accounting for absorption lines in images obtained with the Chandra X-ray observatory, in Spatial Cluster Modelling (Eds. A. Lawson and D. Denison), Chapman and Hall/CRC, 175-198.

Grants

Software

Selected Talks

Selected Posters