3 papers
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…
stat.ML2024
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.ML2023
Testing for the Markov Property in Time Series via Deep Conditional Generative Learning
Yunzhe Zhou, Chengchun Shi, Lexin Li +1
The Markov property is widely imposed in analysis of time series data. Correspondingly, testing the Markov property, and relatedly, inferring the order of a Markov model, are of pa…