A Brief Introduction to Nested Sampling - IPAM at UCLA

A Brief Introduction to Nested Sampling - IPAM at UCLA

Institute for Pure & Applied Mathematics (IPAM) via YouTube Direct link

Summary

13 of 13

13 of 13

Summary

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A Brief Introduction to Nested Sampling - IPAM at UCLA

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  1. 1 Intro
  2. 2 Background
  3. 3 Motivation: Sampling the Posterior
  4. 4 Motivation: Integrating the Posterior
  5. 5 Stopping Criteria
  6. 6 Nested Sampling In Practice
  7. 7 Naïve Approach: Sampling from the Prior
  8. 8 Examples of Bounding Strategies
  9. 9 Examples of Sampling Strategies
  10. 10 Advantages and Disadvantages
  11. 11 Dynamic Nested Sampling
  12. 12 Illustrative Example
  13. 13 Summary

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