Ngā tūemi rite

• Enhancing the use of family planning service statistics using a Bayesian modelling approach to inform estimates of modern contraceptive use in low- and middle-income countries
  mā: Mooney, Shauna, me ētahi atu.
  I whakaputaina: (2024)
• Flexibly Modeling Shocks to Demographic and Health Indicators with Bayesian Shrinkage Priors
  mā: Susmann, Herbert, me ētahi atu.
  I whakaputaina: (2024)
• Flexible Modeling of Demographic Transition Processes with a Bayesian Hierarchical B-splines Model
  mā: Susmann, Herbert, me ētahi atu.
  I whakaputaina: (2023)
• Estimating the proportion of modern contraceptives supplied by the public and private sectors using a Bayesian hierarchical penalized spline model
  mā: Comiskey, Hannah, me ētahi atu.
  I whakaputaina: (2022)
• Temporal Models for Demographic and Global Health Outcomes in Multiple Populations: Introducing the Normal-with-Optional-Shrinkage Data Model Class
  mā: Alkema, Leontine, me ētahi atu.
  I whakaputaina: (2024)