Quantile recurrent forecasting in singular spectrum analysis for stock price monitoring
Distributed lag inspired machine learning for predicting vaccine-induced changes in COVID-19 hospitalization and intensive care unit admission
Interaction of temperature and relative humidity for growth of COVID-19 cases and death rates
Resampling methods for generating continuous multivariate synthetic data for disclosure control
Forecasting respiratory tract infection episodes from prescription data for healthcare service planning
Dependence measures for model selection in singular spectrum analysis
Information theoretic approaches to principal component selection
Assessing privacy risks in population health publications using a checklist-based approach
