Readings

• 2.1.1 Whose assessments are more valuable?

  Subject(s) Module 2. Calibration and Information score
  

• 2.2.1 Questions of interest and calibration questions

  Subject(s) Module 2. Calibration and Information score
  

• 2.3.2 Empirical probability vectors

  Subject(s) Module 2. Calibration and Information score
  

• 2.3.3 Kullback-Leibler divergence

  Subject(s) Module 2. Calibration and Information score
  

• 2.3.4 Computing calibration scores

  Subject(s) Module 2. Calibration and Information score
  

• 2.3.5 Summary calibration score

  Subject(s) Module 2. Calibration and Information score
  

• 2.4.1 Perfect calibration score

  Subject(s) Module 2. Calibration and Information score
  

• 2.4.2 “Best” predictions?

  Subject(s) Module 2. Calibration and Information score
  

• 2.4.3 Calibration score and accuracy

  Subject(s) Module 2. Calibration and Information score
  

• 2.5.2 Constructing experts’ distribution functions

  Subject(s) Module 2. Calibration and Information score
  

Decision Making Under Uncertainty: Introduction to Structured Expert Judgment by TU Delft OpenCourseWare is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
Based on a work at https://online-learning.tudelft.nl/courses/decision-making-under-uncertainty-introduction-to-structured-expert-judgment//.