Learning Bayesian Models with R
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Exercises

  1. By using the definition of conditional probability, show that any multivariate joint distribution of N random variables Exercises has the following trivial factorization:
    Exercises
  2. The bivariate normal distribution is given by:
    Exercises

    Here:

    Exercises

    By using the definition of conditional probability, show that the conditional distribution Exercises can be written as a normal distribution of the form Exercises where Exercises and Exercises.

  3. By using explicit integration of the expression in exercise 2, show that the marginalization of bivariate normal distribution will result in univariate normal distribution.
  4. In the following table, a dataset containing the measurements of petal and sepal sizes of 15 different Iris flowers are shown (taken from the Iris dataset, UCI machine learning dataset repository). All units are in cms:

    Answer the following questions:

    1. What is the probability of finding flowers with a sepal length more than 5 cm and a sepal width less than 3 cm?
    2. What is the probability of finding flowers with a petal length less than 1.5 cm; given that petal width is equal to 0.2 cm?
    3. What is the probability of finding flowers with a sepal length less than 6 cm and a petal width less than 1.5 cm; given that the class of the flower is Iris-versicolor?
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