From 14010e2f8a9dc6b2112d64aa9957c2369d5c761d Mon Sep 17 00:00:00 2001 From: Mark Murnane Date: Thu, 12 May 2022 10:36:04 -0400 Subject: [PATCH] Minor typo --- 03-Gaussians.ipynb | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/03-Gaussians.ipynb b/03-Gaussians.ipynb index 91b961a..d8172a0 100644 --- a/03-Gaussians.ipynb +++ b/03-Gaussians.ipynb @@ -1287,7 +1287,7 @@ "\n", "The discrete Bayes filter works by multiplying and adding arbitrary probability distributions. The Kalman filter uses Gaussians instead of arbitrary distributions, but the rest of the algorithm remains the same. This means we will need to multiply and add Gaussians. \n", "\n", - "A remarkable property of Gaussians is that the sum of two independent independent normal variables (https://en.wikipedia.org/wiki/Sum_of_normally_distributed_random_variables) is also normally distributed! The product is not Gaussian, but proportional to a Gaussian. There we can say that the result of multipying two Gaussian distributions is a Gaussian function (recall function in this context means that the property that the values sum to one is not guaranteed).\n", + "A remarkable property of Gaussians is that the sum of two independent normal variables (https://en.wikipedia.org/wiki/Sum_of_normally_distributed_random_variables) is also normally distributed! The product is not Gaussian, but proportional to a Gaussian. There we can say that the result of multipying two Gaussian distributions is a Gaussian function (recall function in this context means that the property that the values sum to one is not guaranteed).\n", "\n", "Before we do the math, let's test this visually. " ]