3 citations · 3 across the 7 of their papers we have counts for
4 papers · 1 filter
Convergence and Optimality of the EM Algorithm Under Multi-Component Gaussian Mixture Models
Xin Bing, Dehan Kong, Bingqing Li
Gaussian mixture models (GMMs) are fundamental statistical tools for modeling heterogeneous data. Due to the nonconcavity of the likelihood function, the Expectation-Maximization (…
Successive classification learning for estimating quantile optimal treatment regimes
Junwen Xia, Jingxiao Zhang, Dehan Kong
Quantile optimal treatment regimes (OTRs) aim to assign treatments that maximize a specified quantile of patients' outcomes. Compared to treatment regimes that target the mean outc…
Simultaneous hypothesis testing for comparing many functional means
Colin Decker, Dehan Kong, Stanislav Volgushev
Data with multiple functional recordings at each observational unit are increasingly common in various fields including medical imaging and environmental sciences. To conduct infer…
Modeling Cell Developmental Trajectory using Multinomial Unbalanced Optimal Transport
Junhao Zhu, Kevin Zhang, Zhaolei Zhang +1
Single-cell trajectory analysis aims to reconstruct the biological developmental processes of cells as they evolve over time, leveraging temporal correlations in gene expression. D…