405 citations · 638 across the 7 of their papers we have counts for
7 papers
Fully Bayesian Analysis of the Relevance Vector Machine Classification for Imbalanced Data
Wenyang Wang, Dongchu Sun, Zhuoqiong He
Relevance Vector Machine (RVM) is a supervised learning algorithm extended from Support Vector Machine (SVM) based on the Bayesian sparsity model. Compared with the regression prob…
Direct Sampling of Bayesian Thin-Plate Splines for Spatial Smoothing
Gentry White, Dongchu Sun, Paul Speckman
Radial basis functions are a common mathematical tool used to construct a smooth interpolating function from a set of data points. A spatial prior based on thin-plate spline radial…
Rejoinder to Article by Berger, Bernardo, and Sun
James O. Berger, Jose M. Bernardo, Dongchu Sun
Rejoinder to Overall Objective Priors by James O. Berger, Jose M. Bernardo, Dongchu Sun [arXiv:1504.02689]
Overall Objective Priors
James O. Berger, Jose M. Bernardo, Dongchu Sun
In multi-parameter models, reference priors typically depend on the parameter or quantity of interest, and it is well known that this is necessary to produce objective posterior di…
The formal definition of reference priors
James O. Berger, José M. Bernardo, Dongchu Sun
Reference analysis produces objective Bayesian inference, in the sense that inferential statements depend only on the assumed model and the available data, and the prior distributi…
Objective Bayesian analysis under sequential experimentation
Dongchu Sun, James O. Berger
Objective priors for sequential experiments are considered. Common priors, such as the Jeffreys prior and the reference prior, will typically depend on the stopping rule used for t…