Christopher Hans
Christopher Hans
Associate Professor of Statistics, The Ohio State University
Verified email at
Cited by
Cited by
Sparse graphical models for exploring gene expression data
A Dobra, C Hans, B Jones, JR Nevins, G Yao, M West
Journal of Multivariate Analysis 90 (1), 196-212, 2004
Bayesian lasso regression
C Hans
Biometrika 96 (4), 835-845, 2009
Gene expression profiling and genetic markers in glioblastoma survival
JN Rich, C Hans, B Jones, ES Iversen, RE McLendon, BKA Rasheed, ...
Cancer research 65 (10), 4051-4058, 2005
Shotgun stochastic search for “large p” regression
C Hans, A Dobra, M West
Journal of the American Statistical Association 102 (478), 507-516, 2007
Experiments in stochastic computation for high-dimensional graphical models
B Jones, C Carvalho, A Dobra, C Hans, C Carter, M West
Methods, system, and computer program products for developing and using predictive models for predicting a plurality of medical outcomes, for evaluating intervention strategies …
J Langheier, C Hans, C Carvalho, R Snyderman
US Patent App. 11/323,460, 2006
Gene expression profiles of multiple breast cancer phenotypes and response to neoadjuvant chemotherapy
HK Dressman, C Hans, A Bild, JA Olson, E Rosen, PK Marcom, ...
Clinical Cancer Research 12 (3), 819-826, 2006
Elastic net regression modeling with the orthant normal prior
C Hans
Journal of the American Statistical Association 106 (496), 1383-1393, 2011
Model uncertainty and variable selection in Bayesian lasso regression
C Hans
Statistics and Computing 20, 221-229, 2010
Bayesian inferences on umbrella orderings
C Hans, DB Dunson
Biometrics 61 (4), 1018-1026, 2005
SSS: High-dimensional Bayesian regression model search
C Hans, Q Wang, A Dobra, M West
Bulletin of the International Society for Bayesian Analysis 14, 8-9, 2007
Block hyper-g priors in Bayesian regression
A Som, CM Hans, SN MacEachern
arXiv preprint arXiv:1406.6419, 2014
Accounting for absorption lines in images obtained with the Chandra X-ray Observatory
DA van Dyk, CM Hans
Spatial Cluster Modelling (Editors: D. Denison and A. Lawson), 175-198, 2002
Prediction of non-stationary response functions using a Bayesian composite Gaussian process
CB Davis, CM Hans, TJ Santner
Computational statistics & data analysis 154, 107083, 2021
A conditional Lindley paradox in Bayesian linear models
A Som, CM Hans, SN MacEachern
Biometrika 103 (4), 993-999, 2016
High-dimensional regression in cancer genomics
C Hans, M West
Bulletin of the International Society for Bayesian Analysis 13 (2-3), 21, 2006
Covariance decompositions for accurate computation in Bayesian scale-usage models
C Hans, GM Allenby, PF Craigmile, J Lee, SN MacEachern, X Xu
Journal of Computational and Graphical Statistics 21 (2), 538-557, 2012
Accounting for absorption lines in high energy spectra
ED Feigelson, GJ Babu, C Hans, DA van Dyk
Statistical Challenges in Astronomy, 429-430, 2003
Regression model search and uncertainty with many predictors
CM Hans
Duke University, 2005
M David
Oxford Handbook of Clinical Dentistry”. Oxford, 2016
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