3 papers
stat.ME2025
A Monotone Single-Index Modal Regression Powered by Deep Neural Networks for Non-Gaussian Periodontal Data
Qingyang Liu, Shijie Wang, Ray Bai +1
Pocket depth (PD) is a widely used biomarker for diagnosing risk of periodontal disease (PrD). However, PD typically exhibits skewness and heavy-tailedness, and its relationship wi…
stat.ML2024
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 -modeling where accurately estimating the prior is…
stat.ME2024
Fast Bootstrapping Nonparametric Maximum Likelihood for Latent Mixture Models
Shijie Wang, Minsuk Shin, Ray Bai
Estimating the mixing density of a latent mixture model is an important task in signal processing. Nonparametric maximum likelihood estimation is one popular approach to this probl…