Log In
Or create an account -> 
Imperial Library
  • Home
  • About
  • News
  • Upload
  • Forum
  • Help
  • Login/SignUp

Index
Cover Frontmatter 1. Building Blocks for Bayesian Networks
1. Introduction 2. An Introduction to Evidence-Centered Design 3. Bayesian Probability and Statistics: a Review 4. Basic Graph Theory and Graphical Models 5. Efficient Calculations 6. Some Example Networks 7. Explanation and Test Construction
2. Learning and Revising Models from Data
8. Parameters for Bayesian Network Models 9. Learning in Models with Fixed Structure 10. Critiquing and Learning Model Structure 11. An Illustrative Example
3. Evidence-Centered Assessment Design
12. The Conceptual Assessment Framework 13. The Evidence Accumulation Process 14. Biomass: An Assessment of Science Standards 15. The Biomass Measurement Model 16. The Future of Bayesian Networks in Educational Assessment
Backmatter
  • ← Prev
  • Back
  • Next →
  • ← Prev
  • Back
  • Next →

Chief Librarian: Las Zenow <zenow@riseup.net>
Fork the source code from gitlab
.

This is a mirror of the Tor onion service:
http://kx5thpx2olielkihfyo4jgjqfb7zx7wxr3sd4xzt26ochei4m6f7tayd.onion