Howard D Bondell

The R2D2 Prior for Generalized Linear Mixed Models

Yanchenko, E., Bondell, H. D., & Reich, B. J. (2024, May 9). The American Statistician, Vol. 5.

Spatial regression modeling via the R2D2 framework

Yanchenko, E., Bondell, H. D., & Reich, B. J. (2023, October 27). Environmetrics, Vol. 10.

Deep distribution regression

Li, R., Reich, B. J., & Bondell, H. D. (2021, February 22). Computational Statistics & Data Analysis, Vol. 159.

Nonparametric conditional density estimation in a deep learning framework for short-term forecasting

Huberman, D. B., Reich, B. J., & Bondell, H. D. (2021, May 20). Environmental and Ecological Statistics, Vol. 5.

Bayesian Regression Using a Prior on the Model Fit: The R2-D2 Shrinkage Prior

Zhang, Y. D., Naughton, B. P., Bondell, H. D., & Reich, B. J. (2020, September 23). Journal of the American Statistical Association.

Bayesian inference in high-dimensional linear models using an empirical correlation-adaptive prior

Liu, C., Yang, Y., Bondell, H., & Martin, R. (2020, March 26). Statistica Sinica.

Bayesian variable selection for logistic regression

Tian, Y., Bondell, H. D., & Wilson, A. (2019, June 27). Statistical Analysis and Data Mining The ASA Data Science Journal, Vol. 12, pp. 378–393.

Binormal Precision–Recall Curves for Optimal Classification of Imbalanced Data

Liu, Z., & Bondell, H. D. (2019, February 11). Statistics in Biosciences.

Solution paths for the generalized lasso with applications to spatially varying coefficients regression

Zhao, Y., & Bondell, H. (2019, August 4). Computational Statistics & Data Analysis.

Developing a model of climate change behavior among adolescents

Stevenson, K. T., Peterson, M. N., & Bondell, H. D. (2018, November 3). Climatic Change, Vol. 151, pp. 589–603.

Market and nonmarket valuation of North Carolina's tundra swans among hunters, wildlife watchers, and the public

Frew, K. N., Peterson, M. N., Sills, E., Moorman, C. E., Bondell, H., Fuller, J. C., & Howell, D. L. (2018, September 1). Wildlife Society Bulletin, Vol. 42, pp. 478–487.

A Bayesian mixture model for clustering and selection of feature occurrence rates under mean constraints

Li, Q., Guindani, M., Reich, B. J., Bondell, H. D., & Vannucci, M. (2017, June 8). Statistical Analysis and Data Mining The ASA Data Science Journal, Vol. 10, pp. 393–409.

Best linear estimation via minimization of relative mean squared error

Su, L., & Bondell, H. D. (2017, November 30). Statistics and Computing.

Evaluating relationships between hunting and biodiversity knowledge among children

Wildlife Society Bulletin, 41(3), 530–536.

Fully efficient robust estimation, outlier detection, and variable selection via penalized regression

Bondell, H., Kong, D., & Wu, Y. (2017, April 18). Statistica Sinica.

Variable Selection via Penalized Credible Regions with Dirichlet–Laplace Global-Local Shrinkage Priors

Zhang, Y., & Bondell, H. D. (2017, October 23). Bayesian Analysis.

Spatial Regression with Covariate Measurement Error: A Semiparametric Approach

Huque, M. H., Bondell, H. D., Carroll, R. J., & Ryan, L. M. (2016, January 20). Biometrics.

The influence of personal beliefs, friends, and family in building climate change concern among adolescents

Environmental Education Research, 25(6), 832–845.

A Penalized Likelihood Approach for Investigating Gene–Drug Interactions in Pharmacogenetic Studies

Neely, M. L., Bondell, H. D., & Tzeng, J.-Y. (2015, January 20). Biometrics, Vol. 71, pp. 529–537.

Perspectives of wildlife conservation professionals on intensive deer management

Wildlife Society Bulletin, 39(4), 751–756.

Domain selection for the varying coefficient model via local polynomial regression

Kong, D., Bondell, H. D., & Wu, Y. (2014, October 18). Computational Statistics & Data Analysis.

Incorporating covariates in skewed functional data models

Li, M., Staicu, A.-M., & Bondell, H. D. (2014, December 19). Biostatistics, Vol. 16, pp. 413–426.

On the impact of covariate measurement error on spatial regression modelling

Huque, M. H., Bondell, H. D., & Ryan, L. (2014, October 9). Environmetrics.

Overcoming skepticism with education: interacting influences of worldview and climate change knowledge on perceived climate change risk among adolescents

Climatic Change, 126(3-4), 293–304.

Role of Significant Life Experiences in Building Environmental Knowledge and Behavior Among Middle School Students

The Journal of Environmental Education, 45(3), 163–177.

A Nonparametric Spatial Model for Periodontal Data With Nonrandom Missingness

Reich, B. J., Bandyopadhyay, D., & Bondell, H. D. (2013, April 28). Journal of the American Statistical Association, Vol. 108, pp. 820–831.

Consistent Group Identification and Variable Selection in Regression With Correlated Predictors

Sharma, D. B., Bondell, H. D., & Zhang, H. H. (2013, January 1). Journal of Computational and Graphical Statistics.

Efficient Robust Regression via Two-Stage Generalized Empirical Likelihood

Bondell, H. D., & Stefanski, L. A. (2013, March 29). Journal of the American Statistical Association, Vol. 108, pp. 644–655.

Environmental, institutional, and demographic predictors of environmental literacy among middle school children

PLoS One, 8(3).

Factor Selection and Structural Identification in the Interaction ANOVA Model

Post, J. B., & Bondell, H. D. (2013, January 17). Biometrics.

Interquantile Shrinkage in Regression Models

Jiang, L., Wang, H. J., & Bondell, H. D. (2013, October 1). Journal of Computational and Graphical Statistics.

Interquantile shrinkage and variable selection in quantile regression

Jiang, L., Bondell, H. D., & Wang, H. J. (2013, August 20). Computational Statistics & Data Analysis.

Variable selection for non-parametric quantile regression via smoothing spline analysis of variance

Stat, 2(1), 255–268.

A Confidence Region Approach to Tuning for Variable Selection

Gunes, F., & Bondell, H. D. (2012, April 1). Journal of Computational and Graphical Statistics.

Consistent High-Dimensional Bayesian Variable Selection via Penalized Credible Regions

Bondell, H. D., & Reich, B. J. (2012, August 14). Journal of the American Statistical Association, Vol. 107, pp. 1610–1624.

Estimating public willingness to fund nongame conservation through state tax initiatives

Wildlife Society Bulletin, 36(3), 483–491.

Predicting native plant landscaping preferences in urban areas

Sustainable Cities and Society, 5, 70–76.

Private landowner interest in market-based incentive programs for endangered species habitat conservation

Wildlife Society Bulletin, 36(3), 469–476.

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.

RADIOGRAPHIC EVALUATION OF FELINE APPENDICULAR DEGENERATIVE JOINT DISEASE VS. MACROSCOPIC APPEARANCE OF ARTICULAR CARTILAGE

FREIRE, M. I. L. A., ROBERTSON, I. A. N., BONDELL, H. O. W. A. R. D. D., BROWN, J. A. M. E. S., HASH, J. O. N., PEASE, A. N. T. H. O. N. Y. P., & LASCELLES, B. D. U. N. C. A. N. X. (2011, March 21). Veterinary Radiology & Ultrasound, Vol. 52, pp. 239–247.

Surface estimation, variable selection, and the nonparametric oracle property

Statistica Sinica, 21(2), 679–705.

A Locally Adaptive Penalty for Estimation of Functions With Varying Roughness

Storlie, C. B., Bondell, H. D., & Reich, B. J. (2010, January 1). Journal of Computational and Graphical Statistics, Vol. 19, pp. 569–589.

A Spatial Dirichlet Process Mixture Model for Clustering Population Genetics Data

Reich, B. J., & Bondell, H. D. (2010, September 3). Biometrics, Vol. 67, pp. 381–390.

Evaluating haplotype effects in case‐control studies via penalized‐likelihood approaches: prospective or retrospective analysis?

Koehler, M. L., Bondell, H. D., & Tzeng, J. Y. (2010, November 22). Genetic Epidemiology, Vol. 34, pp. 892–911.

Joint Variable Selection for Fixed and Random Effects in Linear Mixed‐Effects Models

Bondell, H. D., Krishna, A., & Ghosh, S. K. (2010, February 16). Biometrics, Vol. 66, pp. 1069–1077.

Noncrossing quantile regression curve estimation

Bondell, H. D., Reich, B. J., & Wang, H. (2010, August 30). Biometrika, Vol. 97, pp. 825–838.

Sufficient Dimension Reduction via Bayesian Mixture Modeling

Reich, B. J., Bondell, H. D., & Li, L. (2010, October 29). Biometrics, Vol. 67, pp. 886–895.

A comprehensive approach to haplotype-specific analysis by penalized likelihood

European Journal of Human Genetics, 18(1), 95–103.

Flexible Bayesian quantile regression for independent and clustered data

Reich, B. J., Bondell, H. D., & Wang, H. J. (2009, November 30). Biostatistics, Vol. 11, pp. 337–352.

Variable Selection in Bayesian Smoothing Spline ANOVA Models: Application to Deterministic Computer Codes

Reich, B. J., Storlie, C. B., & Bondell, H. D. (2009, April 16). Technometrics, Vol. 51, pp. 110–120.

Bayesian variable selection using an adaptive powered correlation prior

Krishna, A., Bondell, H. D., & Ghosh, S. K. (2008, December 25). Journal of Statistical Planning and Inference, Vol. 139, pp. 2665–2674.

On Robust and Efficient Estimation of the Center of Symmetry

Bondell, H. D. (2008, January 18). Communication in Statistics- Theory and Methods.

Shrinkage Inverse Regression Estimation for Model-Free Variable Selection

Bondell, H. D., & Li, L. (2008, October 22). Journal of the Royal Statistical Society Series B (Statistical Methodology).

Simultaneous Factor Selection and Collapsing Levels in ANOVA

Bondell, H. D., & Reich, B. J. (2008, May 28). Biometrics, Vol. 65, pp. 169–177.

A characteristic function approach to the biased sampling model, with application to robust logistic regression

Bondell, H. D. (2007, March 14). Journal of Statistical Planning and Inference.

Simultaneous Regression Shrinkage, Variable Selection, and Supervised Clustering of Predictors with OSCAR

Bondell, H. D., & Reich, B. J. (2007, June 30). Biometrics, Vol. 64, pp. 115–123.

Statistical Inference Based on Pooled Data: A Moment-Based Estimating Equation Approach

Bondell, H. D., Liu, A., & Schisterman, E. F. (2007, March 1). Journal of Applied Statistics.

Testing goodness-of-fit in logistic case-control studies

Bondell, H. D. (2007, February 28). Biometrika.