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Parallel Bayesian Additive Regression Trees
Matthew T. Pratola, Hugh A. Chipman, James R. Gattiker +3
Bayesian Additive Regression Trees (BART) is a Bayesian approach to flexible non-linear regression which has been shown to be competitive with the best modern predictive methods su…
Monotone Function Estimation for Computer Experiments
Shirin Golchi, Derek R. Bingham, Hugh Chipman +1
In statistical modeling of computer experiments sometimes prior information is available about the underlying function. For example, the physical system simulated by the computer c…
A new Bayesian ensemble of trees classifier for identifying multi-class labels in satellite images
Reshu Agarwal, Pritam Ranjan, Hugh Chipman
Classification of satellite images is a key component of many remote sensing applications. One of the most important products of a raw satellite image is the classified map which l…
GPfit: An R package for Gaussian Process Model Fitting using a New Optimization Algorithm
Blake MacDonald, Pritam Ranjan, Hugh Chipman
Gaussian process (GP) models are commonly used statistical metamodels for emulating expensive computer simulators. Fitting a GP model can be numerically unstable if any pair of des…