Random Forest Big Data Grant (article appeared in UHealth news)
Favorite current quotes:
"Just say no to p-hacking!"
"We are drowning in data but starving for information"
"All models are wrong, but some are useful"
Cancer Staging, Trees, Forests, Ensembles, Bayesian and Frequentist Variable Selection, Bioinformatics, High Dimensions, Nonparametric Bayes
Editor, Sankhya A, Sankhya B, 12-15
Deputy Statistical Editor, J. Thoracic and Cardiovascular Surgery
Associate Editor, JASA, Theory and Methods, 05-11
Associate Editor, Electronic Journal of Statistics, 07-13
Associate Editor, Statistics and Probability Letters, 07-10
Web Editor, Inst. of Mathematical Statistics, 03-05
PhD Statistics, Yale University, 1993
MSc Applied Statistics, Oxford University, 1988
BSc Mathematical Statistics, Univ. of Toronto, 1987
Selected Papers [Full List]
Mantero A. and Ishwaran H. (2017). Unsupervised random forests.
Lu M., Sadiq S., Feaster D.J. and Ishwaran H. (2017). Estimating individual treatment effect in observational data using random forest methods. To appear in J. Comp. Graph. Statist. arXiv:1701.05306
Ishwaran H. (2015). The effect of splitting on random forests. Machine Learning, 99, 75-118. [pdf]
Ehrlinger J. and Ishwaran H. (2012). Characterizing L2Boosting. Ann. Statist, 40, 1074-1101. [pdf]
Ishwaran H., Kogalur U.B., Gorodeski E.Z., Minn A.J. and Lauer M.S. (2010). High-dimensional variable selection for survival data. J. Amer. Stat. Assoc, 105, 205-217. [pdf]
Ishwaran H., Blackstone E.H., Hansen. C.A. and Rice T.W. (2009). A novel approach to cancer staging: application to esophageal cancer. Biostatistics, 10, 603-620. [pdf]
Ishwaran H., James L.F. and Zarepour M. (2009). An alternative to the m out of n bootstrap. J. Stat. Plann. Inference, 139, 788-801. [pdf]
Ishwaran H., Kogalur U.B., Blackstone E.H. and Lauer M.S. (2008). Random survival forests. Ann. Appl. Statist., 2, 841-860. [pdf]
Ishwaran H. (2007). Variable importance in binary regression trees and forests. Electronic J. Statist., 1, 519-537.
Ishwaran H. and Rao J.S. (2005). Spike and slab variable selection: frequentist and Bayesian strategies. Ann. of Stat., 33, 730-773. [pdf]
Ishwaran H. and Rao J.S. (2003). Detecting differentially expressed genes in microarrays using Bayesian model selection. J. Amer. Stat. Assoc., 98, 438-455. [pdf
Ishwaran H. and James L.F. (2003). Generalized weighted Chinese restaurant processes for species sampling mixture models. Statistica Sinica, 13, 1211-1235. pdf
Ishwaran H. and Zarepour M. (2002). Exact and approximate sum-representations for the Dirichlet process. Can. J. Statist. 30, 269-283. [pdf]
Ishwaran H. and James L.F. (2001). Gibbs sampling methods for stick-breaking priors. J. Amer. Stat. Assoc. 96, 161-173. [pdf]
Ishwaran H., James L.F. and Sun J. (2001). Bayesian model selection in finite mixtures by marginal density decompositions. J. Amer. Stat. Assoc. 96, 1316-1332. [pdf]
Ishwaran H. and Gatsonis C. (2000). A general class of hierarchical ordinal regression models with applications to correlated ROC analysis. Can. J. Statist., 28, 731-750. [pdf]
Ishwaran H. (1999). Information in semiparametric mixtures of exponential families. Ann. Statist., 27, 159-177. [pdf]
Ishwaran H. (1996). Identifiability and rates of estimation for scale parameters in location mixture models. Ann. Statist., 24, 1560-1571. [pdf]