Tag Archives: Python

Censored Gaussian Model

Recently I’ve started working with models including censored observations. In order to gain some insight to the problem, I’ve prepared a simple censored Gaussian model. Suppose we draw samples from a Gaussian distribution with unknown mean $\mu$ and precision $\tau$ $(= 1/\sigma^2)$ but can only observe the data points which are greater than a given… Read More »