Machine Learning, Data Science, Markov Chains, Monte Carlo.
Monte Carlo method with direct sampling helps us reason about probabilistic systems. The method is straightforward, we generate a sample input based on the respective probability distribution and analyze the output appropriately. However, there are situations when direct sampling is not feasible