10 citations · 30 across the 25 of their papers we have counts for
3 papers · 1 filter
Subspace decompositions for association structure learning in multivariate categorical response regression
Hongru Zhao, Aaron J. Molstad, Adam J. Rothman
Modeling the complex relationships between multiple categorical response variables as a function of predictors is a fundamental task in the analysis of categorical data. However, e…
Smooth and shape-constrained quantile distributed lag models
Yisen Jin, Aaron J. Molstad, Ander Wilson +1
Exposure to environmental pollutants during the gestational period can significantly impact infant health outcomes, such as birth weight and neurological development. Identifying c…
Fast and reliable confidence intervals for a variance component
Yiqiao Zhang, Karl Oskar Ekvall, Aaron J. Molstad
We show that confidence intervals in a variance component model, with asymptotically correct uniform coverage probability, can be obtained by inverting certain test-statistics base…