Discrete Distributions
Explore discrete distributions within the JAX framework, focusing on how to model events like dice rolls or coin tosses using Poisson and Bernoulli distributions. Understand probability mass functions, sampling methods, and essential statistics such as mean and variance for effective implementation.
We'll cover the following...
Discrete distributions
There are some scenarios where we need to sample the distribution from discrete events like a coin toss result, the value of a dice roll, or the number of people.
Probability Mass Function (PMF)
The concept of CDF is the same for both continuous and discrete distributions, though PDF is replaced by the Probability Mass Function (PMF). Here we calculate the probability for a given sample directly instead of differentiation.
Poisson distribution
Poisson distribution is used to sample unlikely events (events with low probability).
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