renamed notebooks

notebooks/MCMC/Untitled.ipynb

-{
- "cells": [
-  {
-   "cell_type": "code",
-   "execution_count": 1,
-   "id": "9b27cc58-6e9d-4e3a-9c5b-a9d1f2080022",
-   "metadata": {
-    "tags": []
-   },
-   "outputs": [],
-   "source": [
-    "from scipy.stats import uniform\n",
-    "n = 1000\n",
-    "x = uniform.rvs(size=1000, loc=0, scale=1)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 2,
-   "id": "98bb71fa-bc54-4e6b-a6c5-5639ffc3b16d",
-   "metadata": {
-    "tags": []
-   },
-   "outputs": [],
-   "source": [
-    "import numpy as np\n",
-    "from scipy.stats import uniform\n",
-    "n = 1000\n",
-    "x = uniform.rvs(size=1000, loc=0, scale=1)\n",
-    "integrand = np.exp(-np.square(x)/2)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 7,
-   "id": "e9d73b09-de8f-472b-b448-c20b35462143",
-   "metadata": {
-    "tags": []
-   },
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "0.34320423614573237\n"
-     ]
-    }
-   ],
-   "source": [
-    "from math import pi\n",
-    "import numpy as np\n",
-    "from scipy.stats import uniform\n",
-    "n = 1000\n",
-    "x = uniform.rvs(size=1000, loc=0, scale=1)\n",
-    "integrand = np.exp(-np.square(x)/2)\n",
-    "integral = 1/(np.sqrt(2*pi))*np.sum(integrand)/n\n",
-    "print(integral)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 4,
-   "id": "7eee71cd-16c8-484e-8171-ee506ae2b254",
-   "metadata": {
-    "tags": []
-   },
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "0.3413447460685429\n"
-     ]
-    }
-   ],
-   "source": [
-    "from scipy.stats import norm\n",
-    "integral = norm.cdf(1)-norm.cdf(0)\n",
-    "print(integral)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "d7083f3a-e905-417a-9afb-7ac22debd3a1",
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3 (ipykernel)",
-   "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": "3.10.11"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 5
-}