Problems - Data, Models, and Decision support

• Problems 2.1. Why make models & From models to forecasts (see syllabus and Ch 2 of Dietze - Watmough; TA - Forero)

  • Problems 2.1

• Problems 2.2 Parameter estimation from the literature and Introduction to Bayes (Ch 5 of Dietze - Watmough; TA - Falcao)

  • Intro to JAGS

• Problems 2.3 Characterizing uncertainty (Ch 6 of Dietze - Hurford; TA - Anokye)

  • Problems 2.3

• Problems 2.4 Latent variables and fusing data sources (Ch 8 & 9 of Dietze - Hurford; TA - Falcao)

  • Problems 2.4

• Problems 2.5 Propagating uncertainty (Ch 11 of Dietze - Hurford; TA - Anokye)

  • Problems 2.5

• Problems 2.6 Data assimilation (Ch 13 and 14 of Dietze - Arino; TA - Anokye)

• Problems 2.7 Assessing model performance and case studies (Ch 7, 10, 12, 15 and 16 of Dietze - Watmough; TA - Falcao)

  • Problems 2.7

• Problems 2.8 Models for decision support (Ch 17 of Dietze)

  • Problems 2.8