2019
Inferring Multidimensional Rates of Aging from Cross-Sectional Data
AISTATS 2019poster
Modeling how individuals evolve over time is a fundamental problem in the natural and social sciences. However, existing datasets are often cross-sectional with each individual observed only once, making it impossible to apply traditional time-series methods. Motivated by the study of human aging, w…