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stat.ME2024
Exact Bayesian Gaussian Cox Processes Using Random Integral
Bingjing Tang, Julia Palacios
A Gaussian Cox process is a popular model for point process data, in which the intensity function is a transformation of a Gaussian process. Posterior inference of this intensity f…
stat.ME2022
Marginally Constrained Nonparametric Bayesian Inference through Gaussian Processes
Bingjing Tang, Vinayak Rao
Nonparametric Bayesian models are used routinely as flexible and powerful models of complex data. Many times, a statistician may have additional informative beliefs about data dist…