kalman

aleksejs-fomins · Jun 5, 2019 · 986be9c · 986be9c
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Showing 7 changed files with 293 additions and 7 deletions.
diff --git a/python/machine-learning/mnist/mnist_reader.ipynb b/python/machine-learning/mnist/mnist_reader.ipynb
@@ -475,7 +475,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.6.4"
+   "version": "3.6.8"
   }
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  "nbformat": 4,

diff --git a/python/signal-processing/autocorrelation-examples.ipynb b/python/signal-processing/autocorrelation-examples.ipynb
@@ -223,7 +223,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.6.5"
+   "version": "3.6.8"
   }
  },
  "nbformat": 4,

diff --git a/python/signal-processing/autocorrelation.ipynb b/python/signal-processing/autocorrelation.ipynb
@@ -295,7 +295,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.6.4"
+   "version": "3.6.8"
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  "nbformat": 4,

diff --git a/python/signal-processing/control_theory/kalman-filter.ipynb b/python/signal-processing/control_theory/kalman-filter.ipynb
diff --git a/python/signal-processing/control_theory/stability-multivariate.ipynb b/python/signal-processing/control_theory/stability-multivariate.ipynb
@@ -220,9 +220,9 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python (py36qt5)",
+   "display_name": "Python3.6",
    "language": "python",
-   "name": "py36qt5"
+   "name": "py36"
   },
   "language_info": {
    "codemirror_mode": {
@@ -234,7 +234,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.6.4"
+   "version": "3.6.8"
   }
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  "nbformat": 4,

diff --git a/python/stat-info-theory/basic-statistics/bayes.ipynb b/python/stat-info-theory/basic-statistics/bayes.ipynb
@@ -0,0 +1,41 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Bayesian Statistics\n",
+    "\n",
+    "$$P[D|\\theta] = \\frac{P[\\theta|D]P[D]}{P[\\theta]} = \\frac{P[\\theta|D]P[D]}{\\int_D P[\\theta|D]P[D]dD}$$"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.6.4"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
diff --git a/python/stat-info-theory/sampling/integration.ipynb b/python/stat-info-theory/sampling/integration.ipynb
@@ -199,7 +199,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.6.4"
+   "version": "3.6.8"
   }
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  "nbformat": 4,