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20192026
most citedAssessment of Regression Models with Discrete Outcomes Using Quasi-Empirical Residual Distribution Functions

3 citations · 9 across the 5 of their papers we have counts for

collaborators

6 papers

stat.ML2026

Identication and Estimation of Nonsymmetric Determinantal Point Processes

Christian Gouriéroux, Yang Lu

Determinantal point processes (DPPs) provide tractable distributions for nite random sets, but the usual symmetric-kernel specication imposes nonpositive pairwise dependence. Stati…

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.ME2024★ 3 cited

Diagnostics for Regression Models with Semicontinuous Outcomes

Lu Yang

Semicontinuous outcomes commonly arise in a wide variety of fields, such as insurance claims, healthcare expenditures, rainfall amounts, and alcohol consumption. Regression models,…

stat.ME2023★ 3 cited

Double Probability Integral Transform Residuals for Regression Models with Discrete Outcomes

Lu Yang

The assessment of regression models with discrete outcomes is challenging and has many fundamental issues. With discrete outcomes, standard regression model assessment tools such a…

stat.ME2019★ 3 cited

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…