Gaussian distribution have these nice property that under linear transformation the resulting distribution is still a Gaussian distribution. This property is successfully exploited by the Kalman Filter. In a previous post I had explored the details of Extended Kalman Filter. Today I am exploring the intuitive meaning of Marginalization vs Conditioning for Gaussian distributions. It … Continue reading Marginalization vs Conditioning for Multivariate Gaussian Distribution →