daviddoji/Kalman-and-Bayesian-Filters-in-Python
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I reversed the explanation of product/sum for Gaussians, saying the

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sum is proportional and the product is Normal. Of course the reverse
is true.
This commit is contained in:
Roger Labbe 2017-06-12 09:35:55 -07:00
parent 529585a4c8
commit d15845bde8
1 changed files with 2 additions and 2 deletions
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03-Gaussians.ipynb
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@ -1292,7 +1292,7 @@
"source": [
"## Computational Properties of Gaussians\n",
"\n",
"A remarkable property of Gaussians is that the product of two independent Gaussians is another Gaussian! The sum is not Gaussian, but proportional to a Gaussian.\n",
"A remarkable property of Gaussians is that the sum of two independent Gaussians is another Gaussian! The product is not Gaussian, but proportional to a Gaussian.\n",
"\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",
@ -1810,7 +1810,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.5.1"
"version": "3.5.3"
},
"widgets": {
"state": {