Howard D. Bondell
Affiliations: | North Carolina State University, Raleigh, NC |
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"Howard Bondell"Children
Sign in to add trainee| Funda Gunes | grad student | 2010 | NCSU |
| Dhruv B. Sharma | grad student | 2010 | NCSU |
| Megan L. Koehler | grad student | 2011 | NCSU |
| Liewen Jiang | grad student | 2012 | NCSU |
| Chen-Yen Lin | grad student | 2012 | NCSU |
| Justin B. Post | grad student | 2012 | NCSU |
| Dehan Kong | grad student | 2013 | NCSU |
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Publications
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| Yanchenko E, Bondell HD, Reich BJ. (2024) The R2D2 prior for generalized linear mixed models. The American Statistician. 79: 40-49 |
| Yu W, Bondell H. (2024) Bayesian Empirical Likelihood Regression for Semiparametric Estimation of Optimal Dynamic Treatment Regimes. Statistics in Medicine. 43: 5461-5472 |
| Liu C, Yang Y, Bondell H, et al. (2021) Bayesian inference in high-dimensional linear models using an empirical correlation-adaptive prior Statistica Sinica |
| Zhao Y, Bondell H. (2020) Solution paths for the generalized lasso with applications to spatially varying coefficients regression Computational Statistics & Data Analysis. 142: 106821 |
| Liu Z, Bondell HD. (2019) Binormal Precision–Recall Curves for Optimal Classification of Imbalanced Data Statistics in Biosciences. 11: 141-161 |
| Tian Y, Bondell HD, Wilson A. (2019) Bayesian variable selection for logistic regression Statistical Analysis and Data Mining: the Asa Data Science Journal. 12: 378-393 |
| Kong D, Bondell HD, Wu Y. (2018) Fully Efficient Robust Estimation, Outlier Detection And Variable Selection Via Penalized Regression Statistica Sinica. 28 |
| Zhang Y, Bondell HD. (2018) Variable Selection via Penalized Credible Regions with Dirichlet–Laplace Global-Local Shrinkage Priors Bayesian Analysis. 13: 823-844 |
| Su L, Bondell HD. (2017) Best linear estimation via minimization of relative mean squared error Statistics and Computing. 29: 33-42 |
| Li Q, Guindani M, Reich BJ, et al. (2017) A Bayesian mixture model for clustering and selection of feature occurrence rates under mean constraints Statistical Analysis and Data Mining: the Asa Data Science Journal. 10: 393-409 |