Statistics, Probability, Artificial Intelligence, Insurance, Wildfires.
for tasks that require principled reasoning about uncertainty, such as decision-making under uncertainty, probabilistic reasoning, and Bayesian inference. However, probabilistic models are computationally intensive and require large amounts of data to accurately estimate model parameters.