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Daphne H. Liu

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Research

I am interested in developing Bayesian methods for social science applications. I am particularly interested in forecasting and missing data problems. My work has largely focused on statistical demography, where I have developed methods for probabilistic forecasting of fertility given policy interventions targeting women's education and access to family planning and for multiple imputation of hierarchical nonlinear time series data such as school enrollment rates.

Publications

  1. Liu, Daphne H. and Raftery, Adrian E. (2020), How Do Education and Family Planning Accelerate Fertility Decline? Population and Development Review, 46: 409-441. DOI: 10.1111/padr.12347
  2. Liu, Daphne H. and Raftery, Adrian E. (2024), Bayesian Projections of Total Fertility Rate Conditional on the United Nations Sustainable Development Goals. Annals of Applied Statistics, 18(1): 375-403. DOI: 10.1214/23-AOAS1793

Preprints

  1. Liu, Daphne H. and Raftery, Adrian E., Multiple Imputation of Hierarchical Nonlinear Time Series Data with an Application to School Enrollment Data. arXiv:2401.01872.