Why is Laplace Smoothing Important in Epidemiology?
In epidemiological studies, researchers often deal with sparse data, especially when studying rare diseases or conditions. This can lead to zero probability estimates, which can skew the results and make the model unreliable. Laplace smoothing helps to adjust these probabilities to ensure they are non-zero, thereby providing more stable and reliable statistical inferences.
