Data Science Applications - Environment/Ecology

Data Science Applications - Environment/Ecology

Alan Turing Institute via YouTube Direct link

Discussion-building models for telemetry data

15 of 27

15 of 27

Discussion-building models for telemetry data

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Classroom Contents

Data Science Applications - Environment/Ecology

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  1. 1 Introduction
  2. 2 Data collection
  3. 3 Spatial data
  4. 4 Spatio temporal data
  5. 5 Individual level data
  6. 6 Data analysis
  7. 7 Example 1: Ring-recovery data
  8. 8 Example 1: Assumptions
  9. 9 Example 1: Model parameters
  10. 10 Example 1: Statistical model
  11. 11 Example 2: Assumptions
  12. 12 Example 2: Statistical model
  13. 13 Decisions in constructing models
  14. 14 Discussion-building models for capture-recapture data
  15. 15 Discussion-building models for telemetry data
  16. 16 Classical approach
  17. 17 Bayesian approach
  18. 18 Bayesian parameter estimation
  19. 19 MCMC single update overview
  20. 20 Statistical analysis
  21. 21 Issue 1: Model choice
  22. 22 Issue 1: Classical model choice
  23. 23 Issue 1: Bayesian model choice
  24. 24 Example: Model choice
  25. 25 Statistical approaches
  26. 26 Example 1: Capture-recapture data - Bayesian analysis
  27. 27 Example 2: Count data - Bayesian analysis output

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