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09/15/2022
Stochastic Tree Ensembles for Estimating Heterogeneous Effects
Determining subgroups that respond especially well (or poorly) to specif...
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04/23/2022
Local Gaussian process extrapolation for BART models with applications to causal inference
Bayesian additive regression trees (BART) is a semi-parametric regressio...
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06/03/2021
Bayesian Inference for Gamma Models
We use the theory of normal variance-mean mixtures to derive a data augm...
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02/09/2020
Stochastic tree ensembles for regularized nonlinear regression
This paper develops a novel stochastic tree ensemble method for nonlinea...
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09/25/2019
Design Methodology for Energy Efficient Unmanned Aerial Vehicles
In this paper, we present a load-balancing approach to analyze and parti...
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05/29/2019
Bayesian Inference for Polya Inverse Gamma Models
Probability density functions that include the gamma function are widely...
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02/04/2019
Factor Investing: Hierarchical Ensemble Learning
We present a Bayesian hierarchical framework for both cross-sectional an...
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10/04/2018
Accelerated Bayesian Additive Regression Trees
Although less widely known than random forests or boosted regression tre...
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06/14/2018
Efficient sampling for Gaussian linear regression with arbitrary priors
This paper develops a slice sampler for Bayesian linear regression model...
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04/25/2018