2 papers
stat.ML2025
Targeted Learning for Variable Importance
Xiaohan Wang, Yunzhe Zhou, Giles Hooker
Variable importance is one of the most widely used measures for interpreting machine learning with significant interest from both statistics and machine learning communities. Recen…
stat.ME2024
Targeted Maximum Likelihood Estimation for Integral Projection Models in Population Ecology
Yunzhe Zhou, Giles Hooker
Integral projection models (IPMs) are widely used to study population growth and the dynamics of demographic structure (e.g. age and size distributions) within a population.These m…