7 citations · 7 across the 3 of their papers we have counts for
3 papers
cs.LG2025
RDIT: Residual-based Diffusion Implicit Models for Probabilistic Time Series Forecasting
Chih-Yu Lai, Yu-Chien Ning, Duane S. Boning
Probabilistic Time Series Forecasting (PTSF) plays a critical role in domains requiring accurate and uncertainty-aware predictions for decision-making. However, existing methods of…
q-bio.QM2025
Bayesian ensemble learning for predicting health outcomes of multipollutant mixtures
Yu-Chien Ning, Xin Zhou, Francine Laden +1
We introduce the SoftBart approach from Bayesian ensemble learning to estimate the relationship between multipollutant mixtures and health on chronic exposures in epidemiology rese…
stat.ME2021★ 7 cited
Spike and slab Bayesian sparse principal component analysis
Bo Y. -C. Ning, Ning Ning
Sparse principal component analysis (SPCA) is a popular tool for dimensionality reduction in high-dimensional data. However, there is still a lack of theoretically justified Bayesi…