3 papers
stat.ME2026
A New Measure of Dependence Between Continuous and Multinomial Random Variables
Lu Yang, Galin L. Jones
A novel measure of dependence between a continuous random variable and a multinomial random variable is introduced. The proposed measure is based on the Hellinger distance between…
stat.ML2026
Hierarchies of Calibration: Classification meets Regression
Johannes Resin, Lu Yang, Tilmann Gneiting
Concepts of calibration formalize the compatibility between probabilistic predictions and the respective outcomes. In a nutshell, the outcomes ought to be indistinguishable from ra…
stat.ME2019
Assessment of Regression Models with Discrete Outcomes Using Quasi-Empirical Residual Distribution Functions
Lu Yang
Making informed decisions about model adequacy has been an outstanding issue for regression models with discrete outcomes. Standard assessment tools for such outcomes (e.g. devianc…