Publications

Back to staff profile

  • R Li, BJ Reich, H. Bondell. Deep distribution regression. Computational Statistics and Data Analysis, 159, 107203 (11pp), 2021. doi: 10.1016/j.csda.2021.107203.

  • S. Zhou, A. TORDESILLAS, Mehdi Pouragha, James Bailey, H. Bondell. On local intrinsic dimensionality of deformation in complex materials.. Scientific Reports, 11, 10216, 2021. doi: 10.1038/s41598-021-89328-8.

  • DB Huberman, BJ Reich, H. Bondell. Nonparametric conditional density estimation in a deep learning framework for short-term forecasting. Environmental and Ecological Statistics, 1-15, 2021. doi: 10.1007/s10651-021-00499-z.

  • S. Zhou, A. TORDESILLAS, Mehdi Pouragha, James Bailey, H. Bondell. On local intrinsic dimensionality of deformation in complex materials. 2021.

  • S. Zhou, H. Bondell, A. TORDESILLAS, BIP Rubinstein, J Bailey. Early identification of an impending rockslide location via a spatially-aided gaussian mixture model. Annals of Applied Statistics, 14, 977-992, 2020. doi: 10.1214/20-AOAS1326.

  • R Szczytko, KT Stevenson, MN Peterson, H. Bondell. How combinations of recreational activities predict connection to nature among youth. The Journal of Environmental Education, 462-476, 2020. doi: 10.1080/00958964.2020.1787313.

  • Y. Zhang, BP Naughton, H. Bondell, BJ Reich. Bayesian Regression Using a Prior on the Model Fit: The R2-D2 Shrinkage Prior. Journal of the American Statistical Association, 1-13, 2020. doi: 10.1080/01621459.2020.1825449.

  • Z Liu, H. Bondell. Binormal Precision–Recall Curves for Optimal Classification of Imbalanced Data. Statistics in Biosciences, 141-161, 2019. doi: 10.1007/s12561-019-09231-9.

  • SL Rodriguez, MN Peterson, FW Cubbage, EO Sills, H. Bondell. What is private land stewardship? Lessons from agricultural opinion leaders in North Carolina. Sustainability (Switzerland), 10, 297 (12pp), 2018. doi: 10.3390/su10020297.

  • Dehan Kong, H. Bondell, Weining Shen. Outlier Detection and Robust Estimation in Nonparametric Regression. Proceedings of the Twenty-First International Conference on Artificial Intelligence and Statistics, 84, 208-216, 2018.

  • Y. Zhang, H. Bondell. Variable selection via penalized credible regions with Dirichlet-Laplace global-local shrinkage priors. Bayesian Analysis, 13, 823-844, 2018. doi: 10.1214/17-BA1076.

  • D Kong, H. Bondell, Y. Wu. Fully efficient robust estimation, outlier detection and variable selection via penalized regression. Statistica Sinica, 28, 1031-1052, 2018. doi: 10.5705/ss.202016.0441.

  • KN Frew, MN Peterson, E Sills, CE Moorman, H. Bondell, JC Fuller, DL Howell. Market and nonmarket valuation of North Carolina's tundra swans among hunters, wildlife watchers, and the public. Wildlife Society Bulletin, 478-487, 2018. doi: 10.1002/wsb.915.

  • KT Stevenson, M Nils Peterson, H. Bondell. Developing a model of climate change behavior among adolescents. Climatic Change, 589-603, 2018. doi: 10.1007/s10584-018-2313-0.

  • L Su, H. Bondell. Best linear estimation via minimization of relative mean squared error. Statistics and Computing, 1-10, 2017. doi: 10.1007/s11222-017-9792-0.

  • MN Peterson, T Chesonis, KT Stevenson, H. Bondell. Evaluating relationships between hunting and biodiversity knowledge among children. Wildlife Society Bulletin, 41, 530-536, 2017. doi: 10.1002/wsb.792.

  • Q. Li, M Guindani, BJ Reich, H. Bondell, M Vannucci. A Bayesian mixture model for clustering and selection of feature occurrence rates under mean constraints. Statistical Analysis and Data Mining, 10, 393-409, 2017. doi: 10.1002/sam.11350.

  • R Mitra, KS McNeal, H. Bondell. Pupillary response to complex interdependent tasks: A cognitive-load theory perspective. Behavior Research Methods, 49, 1905-1919, 2017. doi: 10.3758/s13428-016-0833-y.

  • MH Huque, H. Bondell, R. Carroll, LM Ryan. Spatial regression with covariate measurement error: A semiparametric approach. Biometrics, 72, 678-686, 2016. doi: 10.1111/biom.12474.

  • KT Stevenson, MN Peterson, H. Bondell. The influence of personal beliefs, friends, and family in building climate change concern among adolescents. Environmental Education Research, 1-14, 2016. doi: 10.1080/13504622.2016.1177712.

  • MC Chitwood, MN Peterson, H. Bondell, MA Lashley, RD Brown, CS Deperno. Perspectives of wildlife conservation professionals on intensive deer management. Wildlife Society Bulletin, 39, 751-756, 2015. doi: 10.1002/wsb.607.

  • M Li, AM Staicu, H. Bondell. Incorporating covariates in skewed functional data models. Biostatistics, 16, 413-426, 2015. doi: 10.1093/biostatistics/kxu055.

  • ML Neely, H. Bondell, JY Tzeng. A penalized likelihood approach for investigating gene-drug interactions in pharmacogenetic studies. Biometrics, 71, 529-537, 2015. doi: 10.1111/biom.12259.

  • D Kong, H. Bondell, Y. Wu. Domain selection for the varying coefficient model via local polynomial regression. Computational Statistics and Data Analysis, 83, 236-250, 2015. doi: 10.1016/j.csda.2014.10.004.

  • MH Huque, H. Bondell, L Ryan. On the impact of covariate measurement error on spatial regression modelling. Environmetrics, 25, 560-570, 2014. doi: 10.1002/env.2305.

  • KT Stevenson, MN Peterson, H. Bondell, SE Moore, SJ Carrier. Overcoming skepticism with education: interacting influences of worldview and climate change knowledge on perceived climate change risk among adolescents. Climatic Change, 126, 293-304, 2014. doi: 10.1007/s10584-014-1228-7.

  • KT Stevenson, MN Peterson, SJ Carrier, RL Strnad, H. Bondell, T Kirby-Hathaway, SE Moore. Role of significant life experiences in building environmental knowledge and behavior among middle school students. Journal of Environmental Education, 45, 163-177, 2014. doi: 10.1080/00958964.2014.901935.

  • L Jiang, H. Bondell, HJ Wang. Interquantile shrinkage and variable selection in quantile regression. Computational Statistics and Data Analysis, 69, 208-219, 2014. doi: 10.1016/j.csda.2013.08.006.

  • DB Sharma, H. Bondell, H. Zhang. Consistent group identification and variable selection in regression with correlated predictors. Journal of Computational and Graphical Statistics, 22, 319-340, 2013. doi: 10.1080/15533174.2012.707849.

  • C. Lin, H. Bondell, H. Zhang, H Zou. Variable selection for non-parametric quantile regression via smoothing spline analysis of variance. Stat, 2, 255-268, 2013. doi: 10.1002/sta4.33.

  • BJ Reich, D Bandyopadhyay, H. Bondell. A nonparametric spatial model for periodontal data with nonrandom missingness. Journal of the American Statistical Association, 108, 820-831, 2013. doi: 10.1080/01621459.2013.795487.

  • H. Bondell, LA Stefanski. Efficient robust regression via two-stage generalized empirical likelihood. Journal of the American Statistical Association, 108, 644-655, 2013. doi: 10.1080/01621459.2013.779847.

  • L Jiang, HJ Wang, H. Bondell. Interquantile shrinkage in regression models. Journal of Computational and Graphical Statistics, 22, 970-986, 2013. doi: 10.1080/10618600.2012.707454.

  • JB Post, H. Bondell. Factor Selection and Structural Identification in the Interaction ANOVA Model. Biometrics, 69, 70-79, 2013. doi: 10.1111/j.1541-0420.2012.01810.x.

  • KT Stevenson, MN Peterson, H. Bondell, AG Mertig, SE Moore. Environmental, Institutional, and Demographic Predictors of Environmental Literacy among Middle School Children. PLoS One, 8, e59519, 2013. doi: 10.1371/journal.pone.0059519.

  • BJ Reich, E Kalendra, CB Storlie, H. Bondell, M Fuentes. Variable selection for high dimensional Bayesian density estimation: Application to human exposure simulation. Journal of the Royal Statistical Society. Series C: Applied Statistics, 61, 47-66, 2012. doi: 10.1111/j.1467-9876.2011.00772.x.

  • H. Bondell, BJ Reich. Consistent high-dimensional Bayesian variable selection via penalized credible regions. Journal of the American Statistical Association, 107, 1610-1624, 2012. doi: 10.1080/01621459.2012.716344.

  • SL Rodriguez, MN Peterson, FW Cubbage, EO Sills, H. Bondell. Private landowner interest in market-based incentive programs for endangered species habitat conservation. Wildlife Society Bulletin, 36, 469-476, 2012. doi: 10.1002/wsb.159.

  • CJ Dalrymple, MN Peterson, DT Cobb, EO Sills, H. Bondell. Estimating public willingness to fund nongame conservation through state tax initiatives. Wildlife Society Bulletin, 36, 483-491, 2012. doi: 10.1002/wsb.164.

  • MN Peterson, B Thurmond, M McHale, S Rodriguez, H. Bondell, M Cook. Predicting native plant landscaping preferences in urban areas. Sustainable Cities and Society, 5, 70-76, 2012. doi: 10.1016/j.scs.2012.05.007.

  • F Gunes, H. Bondell. A confidence region approach to tuning for variable selection. Journal of Computational and Graphical Statistics, 21, 295-314, 2012. doi: 10.1080/10618600.2012.679890.

  • BJ Reich, H. Bondell. A Spatial Dirichlet Process Mixture Model for Clustering Population Genetics Data. Biometrics, 67, 381-390, 2011. doi: 10.1111/j.1541-0420.2010.01484.x.

  • M Freire, I Robertson, H. Bondell, J. Brown, J Hash, AP Pease, BDX Lascelles. Radiographic evaluation of feline appendicular degenerative joint disease vs. macroscopic appearance of articular cartilage. Veterinary Radiology and Ultrasound, 52, 239-247, 2011. doi: 10.1111/j.1740-8261.2011.01803.x.

  • CB Storlie, H. Bondell, BJ Reich, H. Zhang. Surface estimation, variable selection, and the nonparametric oracle property. Statistica Sinica, 21, 679-705, 2011.

  • BJ Reich, H. Bondell, L Li. Sufficient Dimension Reduction via Bayesian Mixture Modeling. Biometrics, 67, 886-895, 2011. doi: 10.1111/j.1541-0420.2010.01501.x.

  • BJ Reich, E Kalendra, CB Storlie, H. Bondell, M Fuentes. Variable selection for high dimensional Bayesian density estimation: Application to human exposure simulation. Journal of the Royal Statistical Society. Series C: Applied Statistics, 2011. doi: 10.1111/j.1467-9876.2011.01020.x.

  • CB Storlie, H. Bondell, BJ Reich. A locally adaptive penalty for estimation of functionswith varying roughness. Journal of Computational and Graphical Statistics, 19, 569-589, 2010. doi: 10.1198/jcgs.2010.09020.

  • JY Tzeng, H. Bondell. A comprehensive approach to haplotype-specific analysis by penalized likelihood. European Journal of Human Genetics, 18, 95-103, 2010. doi: 10.1038/ejhg.2009.118.

  • BJ Reich, H. Bondell, HJ Wang. Flexible Bayesian quantile regression for independent and clustered data. Biostatistics, 11, 337-352, 2010. doi: 10.1093/biostatistics/kxp049.

  • H. Bondell, BJ Reich, H Wang. Noncrossing quantile regression curve estimation. Biometrika, 97, 825-838, 2010. doi: 10.1093/biomet/asq048.

  • H. Bondell, A Krishna, SK Ghosh. Joint Variable Selection for Fixed and Random Effects in Linear Mixed-Effects Models. Biometrics, 66, 1069-1077, 2010. doi: 10.1111/j.1541-0420.2010.01391.x.

  • H Zamprogno, BD Hansen, H. Bondell, AT Sumrell, W Simpson, ID Robertson, J. Brown, AP Pease, SC Roe, EM Hardie, SJ Wheeler, DX Lascelles. 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, 2010. doi: 10.2460/ajvr.71.12.1417.

  • ML Koehler, H. Bondell, JY Tzeng. Evaluating haplotype effects in case-control studies via penalized-likelihood approaches: Prospective or retrospective analysis?. Genetic Epidemiology, 34, 892-911, 2010. doi: 10.1002/gepi.20545.

  • BJ Reich, CB Storlie, H. Bondell. Variable selection in Bayesian smoothing spline ANOVA models: Application to deterministic computer codes. Technometrics, 51, 110-120, 2009. doi: 10.1198/TECH.2009.0013.

  • H. Bondell, BJ Reich. Simultaneous factor selection and collapsing levels in ANOVA. Biometrics, 65, 169-177, 2009. doi: 10.1111/j.1541-0420.2008.01061.x.

  • A Krishna, H. Bondell, SK Ghosh. Bayesian variable selection using an adaptive powered correlation prior. Journal of Statistical Planning and Inference, 139, 2665-2674, 2009. doi: 10.1016/j.jspi.2008.12.004.

  • H. Bondell, L Li. Shrinkage inverse regression estimation for model-free variable selection. Journal of the Royal Statistical Society. Series B: Statistical Methodology, 71, 287-299, 2009. doi: 10.1111/j.1467-9868.2008.00686.x.

  • H. Bondell, BJ Reich. Simultaneous regression shrinkage, variable selection, and supervised clustering of predictors with OSCAR. Biometrics, 64, 115-123, 2008. doi: 10.1111/j.1541-0420.2007.00843.x.

  • H. Bondell. On robust and efficient estimation of the center of symmetry. Communications in Statistics - Theory and Methods, 37, 318-327, 2008. doi: 10.1080/03610920701653144.

  • H. Bondell. A characteristic function approach to the biased sampling model, with application to robust logistic regression. Journal of Statistical Planning and Inference, 138, 742-755, 2008. doi: 10.1016/j.jspi.2007.01.004.

  • H. Bondell, A Liu, EF Schisterman. Statistical inference based on pooled data: A moment-based estimating equation approach. Journal of Applied Statistics, 34, 129-140, 2007. doi: 10.1080/02664760600994844.

  • H. Bondell. Miscellanea Testing goodness-of-fit in logistic case-control studies. Biometrika, 94, 487-495, 2007. doi: 10.1093/biomet/asm033.

  • H. Bondell. Minimum distance estimation for the logistic regression model. Biometrika, 92, 724-731, 2005. doi: 10.1093/biomet/92.3.724.

  • EF Schisterman, NJ Perkins, A Liu, H. Bondell. Optimal cut-point and its corresponding Youden index to discriminate individuals using pooled blood samples. Epidemiology, 16, 73-81, 2005. doi: 10.1097/01.ede.0000147512.81966.ba.