2 papers
math.ST2025
eGAD! double descent is explained by Generalized Aliasing Decomposition
Mark K. Transtrum, Gus L. W. Hart, Tyler J. Jarvis +1
A central problem in data science is to use potentially noisy samples of an unknown function to predict values for unseen inputs. In classical statistics, predictive error is under…
stat.AP2025
Embracing Uncertainty in "Small Data" Problems: Estimating Earthquakes from Historical Anecdotes
Nathan E. Glatt-Holtz, Ronald A. Harris, Andrew J. Holbrook +4
Seismic risk estimates will be vastly improved with an increased understanding of historical (and pre-historical) seismic events. However the only existing data for these events is…