Temporal Models for Demographic and Global Health Outcomes in Multiple Populations: Introducing a New Framework to Review and Standardise Documentation of Model Assumptions and Facilitate Model Comparison
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Publication:6067593
DOI10.1111/insr.12491arXiv2102.10020OpenAlexW4220838831WikidataQ114627201 ScholiaQ114627201MaRDI QIDQ6067593
Unnamed Author, Leontine Alkema, Unnamed Author
Publication date: 14 December 2023
Published in: International Statistical Review (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/2102.10020
Gaussian processesforecastingBayesian methodshierarchical modelstemporal modelsARIMA processesmodel documentationtemporal models for multiple populations
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- Modeling and Forecasting U.S. Mortality
- Flexible smoothing with \(B\)-splines and penalties. With comments and a rejoinder by the authors
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- Global estimation of child mortality using a Bayesian B-spline bias-reduction model
- Approximate Bayesian Inference for Latent Gaussian models by using Integrated Nested Laplace Approximations
- Measurement Error in Nonlinear Models
- The Analysis of Time Series
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