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Howard Bondell
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Publications
Publications
- Su, L. and Bondell, H. D. (2018+). Best linear estimation via minimization of relative mean squared error. Statistics and Computing (In Press).
- Kong, D., Bondell, H. D., and Wu, Y. (2018+). Fully efficient robust estimation, outlier detection, and variable selection via penalized regression. Statistica Sinica (In Press).
- Zhang, Y. and Bondell, H. D. (2018+). Variable selection via penalized credible regions with Dirichlet-Laplace global-local shrinkage priors. Bayesian Analysis (In Press).
- Rodriguez, S. L., Peterson, M. N., Cubbage, F. W., Sills, E. O., and Bondell, H. D. (2018). What is Private Land Stewardship? Lessons from Agricultural Opinion Leaders in North Carolina. Sustainability 10, 297.
- Kong, D., Bondell, H. D., and Shen, W. (2018). Outlier detection and robust estimation in nonparametric regression. Proceedings of Machine Learning Research 84, 208-216.
- Li, Q., Guindani, M., Reich, B. J., Bondell, H. D. and Vannucci, M. (2017). A Bayesian mixture model for clustering and selection of feature occurrence rates under mean constraints. Statistical Analysis and Data Mining 10, 393-409.
- Peterson, M. N., Chesonis, T., Stevenson, K. T., and Bondell, H. D. (2017). Evaluating relationships between hunting and biodiversity knowledge among children. Wildlife Society Bulletin 41, 530-536.
- Mitra, R., McNeil, K. S., and Bondell, H. D. (2017). Pupillary response to complex interdependent tasks: A cognitive-load theory perspective. Behavior Research Methods 49, 1905-1919.
- Huque, M. H., Bondell, H. D., Carroll, R. J., and Ryan, L. (2016). Spatial regression with covariate measurement error: A semi-parametric approach. Biometrics 72, 678-686.
- Stevenson, K. T., Peterson, M. N., and Bondell, H. D. (2016). The influence of personal beliefs, friends, and family in building climate change concern among adolescents. Environmental Education Research, 1-14.
- Neely, M. L., Bondell, H. D., and Tzeng, J.-Y. (2015). A penalized likelihood approach for investigating gene-drug interactions in pharmacogenetic studies. Biometrics 71, 529-537.
- Li, M., Staicu, A. M., and Bondell, H. D. (2015). Incorporating covariates in skewed functional data models. Biostatistics 16, 413-426.
- Kong, D., Bondell, H. D., and Wu, Y. (2015). Domain selection for the varying coefficient model via local polynomial regression. Computational Statistics and Data Analysis 83, 236-250.
- Chitwood, M. C., Peterson, M. N., Bondell, H. D, Lashley, M. A., Brown, R. D, and Deperno, C. S. (2015). Perspectives of wildlife conservation professionals on intensive deer management. Wildlife Society Bulletin 39, 751–756.
- Huque, M. H., Bondell, H. D., and Ryan, L. (2014). On the impact of covariate measurement error on spatial regression modelling. Environmetrics 25, 560-570.
- Stevenson, K. T., Peterson, M. N., Bondell, H. D., Moore, S. E., and Carrier, S. J. (2014). Overcoming skepticism with education: Interacting influences of worldview and climate change knowledge on perceived climate change risk among adolescents. Climatic Change 126, 293-304.
- Jiang, L., Bondell, H. D., and Wang, H. J. (2014). Interquantile shrinkage and variable selection in regression models. Computational Statistics and Data Analysis 69, 208-219.
- Stevenson, K. T., Peterson, M. N., Carrier, S. J., Strnad, R. L., Bondell, H. D., Kirby-Hathaway, T., and Moore, S. E. (2014). Role of significant life experiences in building environmental knowledge and behavior among middle school students. Journal of Environmental Education 45, 163-177.
- 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.
- Reich, B. J., Bandyopadhyay, D., and Bondell, H. D. (2013). A nonparametric spatial model for periodontal data with non-random missingness. Journal of the American Statistical Association 108, 820-831.
- Lin, C.-Y., Zhang, H. H., Bondell, H. D., and Zou, H. (2013). Variable selection for nonparametric quantile regression via smoothing spline analysis of variance. Stat 2, 255-268.
- Peterson, M.N., Bondell, H. D., Fratanduono, M. B. L., Bigsby, K., and McHale, M. (2013). Prediction indicators for voluntary carbon-offset purchases among trail runners. Journal of Sport Behavior 36, 264-275.
- Jiang, L., Wang, H. J., and Bondell, H. D. (2013). Interquantile shrinkage in regression models. Journal of Computational and Graphical Statistics 22, 970-986.
- Post, J. B. and Bondell, H. D. (2013). Factor selection and structural identification in the interaction ANOVA model. Biometrics 69, 70-79.
- 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.
- Stevenson, K. T., Peterson, M. N., Bondell, H. D., Mertig, A. G., and Moore, S. E. (2013). Environmental, institutional, and demographic predictors of environmental literacy among middle school children. PLoS ONE 8, e59519.
- 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.
- Peterson, M. N., Thurmond, B., McHale, M., Rodriguez, S., Bondell, H. D., and Cook, M. (2012). Predicting native plant landscaping preferences in urban areas. Sustainable Cities and Society 5, 70-76.
- Reich, B. J., Kalendra, E., Storlie, C. B., Bondell, H. D., and Fuentes, M. (2012). Variable selection for high-dimensional Bayesian density estimation: Application to human exposure simulation. Journal of the Royal Statistical Society C 61, 47-66.
- Dalrymple, C. J., Peterson, M. N., Cobb, D. T., Sills, E. O., Bondell, H. D., and Dalrymple, D. J. (2012). Estimating public willingness to fund nongame conservation through state tax initiatives. Wildlife Society Bulletin 36, 483-491.
- 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.
- Rodriguez, S. L., Peterson, M. N., Cubbage, F. W., Sills, E. O., and Bondell, H. D. (2012). Private landowner interest in market-based incentive programs for endangered species habitat conservation. Wildlife Society Bulletin 36, 469-476.
- Reich, B. J., Bondell, H. D., and Li, L. (2011). Sufficient Dimension Reduction via Bayesian Mixture Modeling. Biometrics 67, 886-895.
- 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.
- Reich, B. J., and Bondell, H. D. (2011). A spatial Dirichlet process mixture model for clustering population genetics data. Biometrics 67, 381-390.
- 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.
- Freire, M., Robertson, I., Bondell, H. D., Brown, J., Hash, J., Pease, A. P., Lascelles, B. D. X. (2011). Radiographic evaluation of feline appendicular degenerative joint disease vs. macroscopic appearance of articular cartilage. Veterinary Radiology and Ultrasound 52, 239-247.
- Bondell, H. D., Reich, B. J., and Wang, H. (2010). Non-crossing quantile regression curve estimation. Biometrika 97, 825-838.
- Storlie, C. B., Bondell, H. D., and Reich, B. J. (2010). A locally adaptive penalty for estimation of functions with varying roughness. Journal of Computational and Graphical Statistics 19, 569-589.
- Koehler, M. L., Bondell, H. D., and Tzeng, J.-Y. (2010). Evaluating Haplotype Effects in Case-Control Studies via Penalized-Likelihood Approaches: Prospective or Retrospective Analysis? Genetic Epidemiology 34, 892-911.
- Reich, B. J., Bondell, H. D., and Wang, H. (2010). Flexible Bayesian quantile regression for independent and clustered data. Biostatistics 11, 337-352.
- Zamprogno, H., Hansen, B. D., Bondell H. D., Thomson-Sumrell, A., Simpson, W., Robertson, I., Brown, J., Pease, A., Roe, S. C., Hardie, E., Wheeler, S. J., Lascelles, B. D. X. (2010). Item generation and design testing of a questionnaire to assess degenerative joint disease-associated pain in cats. American Journal of Veterinary Research 71, 1417-1424.
- 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.
- Dalrymple, C. J., Peterson, M. N., Bondell, H. D., Rodriguez, S. L., Fortney, J., Cobb, D. T., and Sills, E. O. (2010). Understanding angler and hunter annual spending in North Carolina. Proceedings of the Annual Conference of the Southeastern Association of Fish and Wildlife Agencies 64, 88-94.
- Bondell, H. D. and Li, L. (2009). Shrinkage inverse regression estimation for model-free variable selection. Journal of the Royal Statistical Society B 71, 287-299.
- Bondell, H. D. and Reich, B.J. (2009). Simultaneous factor selection and collapsing levels in ANOVA. Biometrics 65, 169-177.
- 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.
- 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.
- Bondell, H. D. (2008). A characteristic function approach to the biased sampling model, with application to robust logistic regression. Journal of Statistical Planning and Inference 138, 742-755.
- Bondell, H. D. and Reich, B. J. (2008). Simultaneous regression shrinkage, variable selection and clustering of predictors with OSCAR. Biometrics 64, 115-123.
- Bondell, H. D. (2008). On robust and efficient estimation of the center of symmetry. Communications in Statistics – Theory and Methods 37, 318-327.
- Bondell, H. D. (2007). Testing goodness-of-fit in logistic case-control studies. Biometrika 94, 487-495.
- Bondell, H. D., Liu, A., and Schisterman, E. F. (2007). Statistical inference based on pooled data: A moment-based estimating equation approach. Journal of Applied Statistics 34, 129-140.
- Schisterman, E. F., Perkins, N. J., Liu, A., and Bondell, H. D. (2005). Optimal cut-point and its corresponding Youden index to discriminate individuals using pooled blood samples. Epidemiology 16, 73-81.
- Bondell, H. D. (2005). Minimum distance estimation for the logistic regression model. Biometrika 92, 724-731.