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Bayesian Stats

  1. What is the crux of what Bayesian statistics wants to complete?
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  2. What does PMF stand for?
    probability mass function
  3. Is the following representative of a dependent or independent variables?
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    When the equation is true, the variables are NOT independent
  4. What does PDF stand for?
    probability density function
  5. How is  a joint PDF denoted?
    f(x,y)

    The joint probability density function (joint pdf) is a function used to characterize the probability distribution of several continuous random variables, which together form a continuous random vector.
  6. Joint vs Marginal distributions
    Joint probability is the probability of two events occurring simultaneously. 

    Marginal probability is the probability of an event irrespective of the outcome of another variable.
Author
saucyocelot
ID
360447
Card Set
Bayesian Stats
Description
Review of statistics thru ...
Updated

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