1 citations · 1 across the 3 of their papers we have counts for
3 papers
stat.ME2026
A Stochastic EM Algorithm with Sampling-Importance Resampling for Missing Data in Regression with Nonlinear Predictors
Dale S. Kim
Estimating regression models with nonlinear predictor transformations is challenging when data are missing, because nonlinearity typically renders the conditional distribution of t…
stat.ME2022★ 1 cited
Structure Learning of Latent Factors via Clique Search on Correlation Thresholded Graphs
Dale S. Kim, Qing Zhou
Despite the widespread application of latent factor analysis, existing methods suffer from the following weaknesses: requiring the number of factors to be known, lack of theoretica…
stat.ME2021
A Hybrid EM Algorithm for Linear Two-Way Interactions with Missing Data
Dale S. Kim
We study an EM algorithm for estimating product-term regression models with missing data. The study of such problems in the likelihood tradition has thus far been restricted to an…