2 citations · 8 across the 11 of their papers we have counts for
5 papers · 1 filter
Robust model-based estimation for binary outcomes in genomics studies
Suyoung Park, Alexander E. Lipka, Daniel J. Eck
In quantitative genetics, statistical modeling techniques are used to facilitate advances in the understanding of which genes underlie agronomically important traits and have enabl…
Minimizing post-shock forecasting error through aggregation of outside information
Jilei Lin, Daniel J. Eck
We develop a forecasting methodology for providing credible forecasts for time series that have recently undergone a shock. We achieve this by borrowing knowledge from other time s…
General model-free weighted envelope estimation
Daniel J. Eck
Envelope methodology is succinctly pitched as a class of procedures for increasing efficiency in multivariate analyses without altering traditional objectives \citep[first sentence…
Efficient and minimal length parametric conformal prediction regions
Daniel J. Eck, Forrest W. Crawford
Conformal prediction methods construct prediction regions for iid data that are valid in finite samples. We provide two parametric conformal prediction regions that are applicable…
Weighted envelope estimation to handle variability in model selection
Daniel J. Eck, R. Dennis Cook
Envelope methodology can provide substantial efficiency gains in multivariate statistical problems, but in some applications the estimation of the envelope dimension can induce sel…