Howard D. Bondell

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Best linear estimation via minimization of relative mean squared error

Lin Su, Howard D. Bondell, 2019, Stat. Comput..

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

Howard D. Bondell, Yaqing Zhao, H. Bondell, 2020, Comput. Stat. Data Anal..

Dataset for: A Bayesian Mixture Model for Clustering and Selection of Feature Occurrence Rates under Mean Constraints

Marina Vannucci, Wiley Admin, Howard D. Bondell, 2017 .

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

Howard D. Bondell, Aiyi Liu, Enrique F. Schisterman, 2007 .

On Robust Probabilistic Principal Component Analysis using Multivariate $t$-Distributions

Howard D. Bondell, Yiping Guo, 2020 .

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

Curtis B. Storlie, Howard D. Bondell, Brian J. Reich, 2009, Technometrics.

Bayesian variable selection for logistic regression

Alyson G. Wilson, Howard D. Bondell, Yiqing Tian, 2019, Stat. Anal. Data Min..

Binormal Precision–Recall Curves for Optimal Classification of Imbalanced Data

Howard D. Bondell, Zhongkai Liu, 2019 .

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

Howard D. Bondell, Brian J. Reich, David B. Huberman, 2020, Environmental and Ecological Statistics.

Deep Distribution Regression pdf

Rui Li, Howard D. Bondell, Brian J. Reich, 2019, Comput. Stat. Data Anal..

Domain selection for the varying coefficient model via local polynomial regression

Yichao Wu, Howard D. Bondell, Dehan Kong, 2015, Comput. Stat. Data Anal..

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

Marina Vannucci, Howard D. Bondell, Brian J. Reich, 2017, Stat. Anal. Data Min..

Interquantile shrinkage and variable selection in quantile regression

Huixia Judy Wang, Howard D. Bondell, Liewen Jiang, 2014, Comput. Stat. Data Anal..

Outlier Detection and Robust Estimation in Nonparametric Regression

Howard D. Bondell, Dehan Kong, Weining Shen, 2018, AISTATS.

The R2D2 Prior for Generalized Linear Mixed Models

Howard D. Bondell, Brian J. Reich, Eric Yanchenko, 2021, 2111.10718.

A shared parameter mixture model for longitudinal income data with missing responses and zero rounding

Howard D. Bondell, Francis K.C. Hui, 2021, Australian & New Zealand Journal of Statistics.

Minimum distance estimation for the logistic regression model

Howard D. Bondell, H. Bondell, 2005 .

On Robust and Efficient Estimation of the Center of Symmetry

Howard D. Bondell, H. Bondell, 2008 .

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

Howard D. Bondell, Brian J. Reich, Yan Dora Zhang, 2016 .

High Dimensional Linear Regression via the R2-D2 Shrinkage Prior

Howard D. Bondell, Brian J. Reich, Yan Zhang, 2016, 1609.00046.

A Locally Adaptive Penalty for Estimation of Functions With Varying Roughness

Curtis B. Storlie, Howard D. Bondell, Brian J. Reich, 2010 .

Shrinkage inverse regression estimation for model‐free variable selection

Howard D. Bondell, Lexin Li, H. Bondell, 2009 .