Neural-g: A Deep Learning Framework for Mixing Density Estimation

Shijie Wang, Saptarshi Chakraborty, Qian Qin +1

Mixing (or prior) density estimation is an important problem in machine learning and statistics, especially in empirical Bayes $g$-modeling where accurately estimating the prior is…