2 citations · 8 across the 11 of their papers we have counts for
14 papers
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…
Do Most Students Need In-Person Lectures? A Study of a Large Statistics Class
Ellen S. Fireman, Zachary S. Donnini, Michael B. Weissman +1
Over 1100 students over four semesters were given the option of taking an introductory undergraduate statistics class either by in-person attendance in lectures or by taking exactl…
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…
SEAM methodology for context-rich player matchup evaluations
Julia Wapner, David Dalpiaz, Daniel J. Eck
We develop the SEAM (synthetic estimated average matchup) method for describing batter versus pitcher matchups in baseball. We first estimate the distribution of balls put into pla…
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…