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    1. Survival analysis

    2. Likelihood function

    3. Approximate Bayesian computation

    4. Solomonoff’s theory of inductive inference

    5. Prior probability

    6. Andrew Gelman

    7. Cauchy distribution

    8. Unlimit Health  :

    9. Against Malaria Foundation

    10. Disease burden

    11. Life on the Mississippi  :

    12. Genome size  :

    13. Mimivirus

    14. Transposable element

    15. Non-coding DNA § Junk DNA  :

    16. Phylogenetic autocorrelation

    17. Pseudoreplication  :

    18. Normal distribution

    19. Student's t-distribution

    20. Log-normal distribution

    21. Exponential distribution

    22. Discrete uniform distribution

    23. Beta distribution

    24. Overdispersion  :

    25. Akaike information criterion

    26. Bayesian information criterion  :

    27. Deviance information criterion  :

    28. Ensemble learning

    29. Nested sampling algorithm  :

    30. Reversible-jump Markov chain Monte Carlo  :

    31. Loss function

    32. Mean squared error

    33. Bayesian search theory

    34. Net present value

    35. Reinforcement learning

    36. Multi-armed bandit

    37. Thompson sampling

    38. Entropy estimation  :

    39. Expected value of perfect information

    40. Raspberry Pi

    41. Arduino

    42. Expected value of sample information

    43. Online machine learning