Update documentation

_sources/bayes_dice.ipynb

@@ -1,5 +1,15 @@
 {
  "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "1331faa1",
+   "metadata": {},
+   "source": [
+    "You can order print and ebook versions of *Think Bayes 2e* from\n",
+    "[Bookshop.org](https://bookshop.org/a/98697/9781492089469) and\n",
+    "[Amazon](https://amzn.to/334eqGo)."
+   ]
+  },
   {
    "cell_type": "markdown",
    "metadata": {},

_sources/beta_binomial.ipynb

@@ -1,5 +1,15 @@
 {
  "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "1331faa1",
+   "metadata": {},
+   "source": [
+    "You can order print and ebook versions of *Think Bayes 2e* from\n",
+    "[Bookshop.org](https://bookshop.org/a/98697/9781492089469) and\n",
+    "[Amazon](https://amzn.to/334eqGo)."
+   ]
+  },
   {
    "cell_type": "markdown",
    "id": "89c73067",

_sources/bookstore.ipynb

@@ -1,5 +1,15 @@
 {
  "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "1331faa1",
+   "metadata": {},
+   "source": [
+    "You can order print and ebook versions of *Think Bayes 2e* from\n",
+    "[Bookshop.org](https://bookshop.org/a/98697/9781492089469) and\n",
+    "[Amazon](https://amzn.to/334eqGo)."
+   ]
+  },
   {
    "cell_type": "markdown",
    "metadata": {},

_sources/hospital.ipynb

@@ -1,5 +1,15 @@
 {
  "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "1331faa1",
+   "metadata": {},
+   "source": [
+    "You can order print and ebook versions of *Think Bayes 2e* from\n",
+    "[Bookshop.org](https://bookshop.org/a/98697/9781492089469) and\n",
+    "[Amazon](https://amzn.to/334eqGo)."
+   ]
+  },
   {
    "cell_type": "markdown",
    "metadata": {},

_sources/hospital_birth_rate.ipynb

@@ -1,5 +1,15 @@
 {
  "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "1331faa1",
+   "metadata": {},
+   "source": [
+    "You can order print and ebook versions of *Think Bayes 2e* from\n",
+    "[Bookshop.org](https://bookshop.org/a/98697/9781492089469) and\n",
+    "[Amazon](https://amzn.to/334eqGo)."
+   ]
+  },
   {
    "cell_type": "markdown",
    "metadata": {},

_sources/ok.ipynb

@@ -1,5 +1,15 @@
 {
  "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "1331faa1",
+   "metadata": {},
+   "source": [
+    "You can order print and ebook versions of *Think Bayes 2e* from\n",
+    "[Bookshop.org](https://bookshop.org/a/98697/9781492089469) and\n",
+    "[Amazon](https://amzn.to/334eqGo)."
+   ]
+  },
   {
    "cell_type": "markdown",
    "metadata": {},

_sources/radiation.ipynb

@@ -1,5 +1,15 @@
 {
  "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "1331faa1",
+   "metadata": {},
+   "source": [
+    "You can order print and ebook versions of *Think Bayes 2e* from\n",
+    "[Bookshop.org](https://bookshop.org/a/98697/9781492089469) and\n",
+    "[Amazon](https://amzn.to/334eqGo)."
+   ]
+  },
   {
    "cell_type": "markdown",
    "metadata": {},

_sources/redline_pymc.ipynb

@@ -1,5 +1,15 @@
 {
  "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "1331faa1",
+   "metadata": {},
+   "source": [
+    "You can order print and ebook versions of *Think Bayes 2e* from\n",
+    "[Bookshop.org](https://bookshop.org/a/98697/9781492089469) and\n",
+    "[Amazon](https://amzn.to/334eqGo)."
+   ]
+  },
   {
    "cell_type": "markdown",
    "id": "89c73067",

_sources/sister.ipynb

@@ -1,5 +1,15 @@
 {
  "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "1331faa1",
+   "metadata": {},
+   "source": [
+    "You can order print and ebook versions of *Think Bayes 2e* from\n",
+    "[Bookshop.org](https://bookshop.org/a/98697/9781492089469) and\n",
+    "[Amazon](https://amzn.to/334eqGo)."
+   ]
+  },
   {
    "cell_type": "markdown",
    "metadata": {},

_sources/usb.ipynb

@@ -1,5 +1,15 @@
 {
  "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "1331faa1",
+   "metadata": {},
+   "source": [
+    "You can order print and ebook versions of *Think Bayes 2e* from\n",
+    "[Bookshop.org](https://bookshop.org/a/98697/9781492089469) and\n",
+    "[Amazon](https://amzn.to/334eqGo)."
+   ]
+  },
   {
    "cell_type": "markdown",
    "metadata": {},

_sources/vaccine2.ipynb

@@ -1,5 +1,15 @@
 {
  "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "1331faa1",
+   "metadata": {},
+   "source": [
+    "You can order print and ebook versions of *Think Bayes 2e* from\n",
+    "[Bookshop.org](https://bookshop.org/a/98697/9781492089469) and\n",
+    "[Amazon](https://amzn.to/334eqGo)."
+   ]
+  },
   {
    "cell_type": "markdown",
    "metadata": {},

bayes_dice.html

@@ -374,7 +374,10 @@ <h2> Contents </h2>
 <div id="searchbox"></div>
                 <article class="bd-article" role="main">
 
-  <section id="bayesian-dice">
+  <p>You can order print and ebook versions of <em>Think Bayes 2e</em> from
+<a class="reference external" href="https://bookshop.org/a/98697/9781492089469">Bookshop.org</a> and
+<a class="reference external" href="https://amzn.to/334eqGo">Amazon</a>.</p>
+<section id="bayesian-dice">
 <h1>Bayesian Dice<a class="headerlink" href="#bayesian-dice" title="Permalink to this heading">#</a></h1>
 <p><a class="reference external" href="https://colab.research.google.com/github/AllenDowney/ThinkBayes2/blob/master/examples/bayes_dice.ipynb">Click here to run this notebook on Colab</a></p>
 <p>I’ve been enjoying Aubrey Clayton’s new book <a class="reference external" href="https://aubreyclayton.com/bernoulli"><em>Bernoulli’s Fallacy</em></a>. Chapter 1, which is about the historical development of competing definitions of probability, is worth the price of admission alone.</p>

beta_binomial.html

@@ -379,7 +379,10 @@ <h2> Contents </h2>
 <div id="searchbox"></div>
                 <article class="bd-article" role="main">
 
-  <section id="the-all-knowing-cube-of-probability">
+  <p>You can order print and ebook versions of <em>Think Bayes 2e</em> from
+<a class="reference external" href="https://bookshop.org/a/98697/9781492089469">Bookshop.org</a> and
+<a class="reference external" href="https://amzn.to/334eqGo">Amazon</a>.</p>
+<section id="the-all-knowing-cube-of-probability">
 <h1>The All-Knowing Cube of Probability<a class="headerlink" href="#the-all-knowing-cube-of-probability" title="Permalink to this heading">#</a></h1>
 <blockquote>
 <div><p>This example uses array computations to explore the concept of conjugate distributions.

bookstore.html

@@ -373,7 +373,10 @@ <h2> Contents </h2>
 <div id="searchbox"></div>
                 <article class="bd-article" role="main">
 
-  <section id="how-many-books">
+  <p>You can order print and ebook versions of <em>Think Bayes 2e</em> from
+<a class="reference external" href="https://bookshop.org/a/98697/9781492089469">Bookshop.org</a> and
+<a class="reference external" href="https://amzn.to/334eqGo">Amazon</a>.</p>
+<section id="how-many-books">
 <h1>How Many Books?<a class="headerlink" href="#how-many-books" title="Permalink to this heading">#</a></h1>
 <p>Suppose you are the author of a book like <em>Probably Overthinking It</em>, and when you visit a local bookstore, like Newtonville Books in Newton, MA, you see that they have two copies of your book on display.</p>
 <p>Is it good that they have only a few copies, because it suggests they started with more and sold some? Or is it bad because it suggests they only keep a small number in stock, and they have not sold. More generally, what number of books would you like to see?</p>

hospital.html

@@ -379,7 +379,10 @@ <h2> Contents </h2>
 <div id="searchbox"></div>
                 <article class="bd-article" role="main">
 
-  <section id="grid-algorithms-for-hierarchical-models">
+  <p>You can order print and ebook versions of <em>Think Bayes 2e</em> from
+<a class="reference external" href="https://bookshop.org/a/98697/9781492089469">Bookshop.org</a> and
+<a class="reference external" href="https://amzn.to/334eqGo">Amazon</a>.</p>
+<section id="grid-algorithms-for-hierarchical-models">
 <h1>Grid algorithms for hierarchical models<a class="headerlink" href="#grid-algorithms-for-hierarchical-models" title="Permalink to this heading">#</a></h1>
 <p>Copyright 2021 Allen B. Downey</p>
 <p>License: <a class="reference external" href="https://creativecommons.org/licenses/by-nc-sa/4.0/">Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)</a></p>

hospital_birth_rate.html

@@ -363,7 +363,10 @@ <h1>Comparing birth rates</h1>
 <div id="searchbox"></div>
                 <article class="bd-article" role="main">
 
-  <section id="comparing-birth-rates">
+  <p>You can order print and ebook versions of <em>Think Bayes 2e</em> from
+<a class="reference external" href="https://bookshop.org/a/98697/9781492089469">Bookshop.org</a> and
+<a class="reference external" href="https://amzn.to/334eqGo">Amazon</a>.</p>
+<section id="comparing-birth-rates">
 <h1>Comparing birth rates<a class="headerlink" href="#comparing-birth-rates" title="Permalink to this heading">#</a></h1>
 <p><a class="reference external" href="https://colab.research.google.com/github/AllenDowney/ThinkBayes2/blob/master/examples/hospital_birth_rate.ipynb">Run this notebook on Colab</a></p>
 <p>Here’s an exercise that was in a draft of <em>Think Bayes</em>, but I ended up cutting it.</p>

ok.html

@@ -376,7 +376,10 @@ <h2> Contents </h2>
 <div id="searchbox"></div>
                 <article class="bd-article" role="main">
 
-  <section id="how-many-typos">
+  <p>You can order print and ebook versions of <em>Think Bayes 2e</em> from
+<a class="reference external" href="https://bookshop.org/a/98697/9781492089469">Bookshop.org</a> and
+<a class="reference external" href="https://amzn.to/334eqGo">Amazon</a>.</p>
+<section id="how-many-typos">
 <h1>How Many Typos?<a class="headerlink" href="#how-many-typos" title="Permalink to this heading">#</a></h1>
 <p>When I started work at <a class="reference external" href="https://brilliant.org">Brilliant</a> a couple of weeks ago, I learned that one of my new colleagues, Michelle McSweeney, just published <a class="reference external" href="https://www.goodreads.com/book/show/58380165-ok">a book called <em>OK</em></a>, which is all about the word OK.</p>
 <p>As we discussed the joys and miseries of publishing, Michelle mentioned that she had found a typo in the book after publication.

radiation.html

@@ -378,7 +378,10 @@ <h2> Contents </h2>
 <div id="searchbox"></div>
                 <article class="bd-article" role="main">
 
-  <section id="the-emitter-detector-problem">
+  <p>You can order print and ebook versions of <em>Think Bayes 2e</em> from
+<a class="reference external" href="https://bookshop.org/a/98697/9781492089469">Bookshop.org</a> and
+<a class="reference external" href="https://amzn.to/334eqGo">Amazon</a>.</p>
+<section id="the-emitter-detector-problem">
 <h1>The Emitter-Detector Problem<a class="headerlink" href="#the-emitter-detector-problem" title="Permalink to this heading">#</a></h1>
 <p><a class="reference external" href="https://colab.research.google.com/github/AllenDowney/ThinkBayes2/blob/master/examples/radiation.ipynb">Click here to run this notebook on Colab</a></p>
 <section id="modeling-a-radiation-sensor">

redline_pymc.html

@@ -382,7 +382,10 @@ <h2> Contents </h2>
 <div id="searchbox"></div>
                 <article class="bd-article" role="main">
 
-  <section id="the-red-line-problem">
+  <p>You can order print and ebook versions of <em>Think Bayes 2e</em> from
+<a class="reference external" href="https://bookshop.org/a/98697/9781492089469">Bookshop.org</a> and
+<a class="reference external" href="https://amzn.to/334eqGo">Amazon</a>.</p>
+<section id="the-red-line-problem">
 <h1>The Red Line Problem<a class="headerlink" href="#the-red-line-problem" title="Permalink to this heading">#</a></h1>
 <p>This example is based on an exercise from <a class="reference external" href="https://greenteapress.com/wp/think-bayes/">Think Bayes, 2nd edition</a>:</p>
 <blockquote>

sister.html

@@ -377,7 +377,10 @@ <h2> Contents </h2>
 <div id="searchbox"></div>
                 <article class="bd-article" role="main">
 
-  <section id="the-left-handed-sister-problem">
+  <p>You can order print and ebook versions of <em>Think Bayes 2e</em> from
+<a class="reference external" href="https://bookshop.org/a/98697/9781492089469">Bookshop.org</a> and
+<a class="reference external" href="https://amzn.to/334eqGo">Amazon</a>.</p>
+<section id="the-left-handed-sister-problem">
 <h1>The Left Handed Sister Problem<a class="headerlink" href="#the-left-handed-sister-problem" title="Permalink to this heading">#</a></h1>
 <p>Suppose you meet someone who looks like the brother of your friend Mary.
 You ask if he has a sister named Mary, and he says “Yes I do, but I don’t think I know you.”</p>

usb.html

@@ -379,7 +379,10 @@ <h2> Contents </h2>
 <div id="searchbox"></div>
                 <article class="bd-article" role="main">
 
-  <section id="flipping-usb-connectors">
+  <p>You can order print and ebook versions of <em>Think Bayes 2e</em> from
+<a class="reference external" href="https://bookshop.org/a/98697/9781492089469">Bookshop.org</a> and
+<a class="reference external" href="https://amzn.to/334eqGo">Amazon</a>.</p>
+<section id="flipping-usb-connectors">
 <h1>Flipping USB Connectors<a class="headerlink" href="#flipping-usb-connectors" title="Permalink to this heading">#</a></h1>
 <p>This notebook is one of the examples in the second edition of <a class="reference external" href="https://greenteapress.com/wp/think-bayes/"><em>Think Bayes</em></a>.</p>
 <p><a class="reference external" href="https://colab.research.google.com/github/AllenDowney/ThinkBayes2/blob/master/examples/usb.ipynb">Click here to run this notebook on Colab</a>.</p>

vaccine2.html

@@ -373,7 +373,10 @@ <h2> Contents </h2>
 <div id="searchbox"></div>
                 <article class="bd-article" role="main">
 
-  <section id="estimating-vaccine-efficacy">
+  <p>You can order print and ebook versions of <em>Think Bayes 2e</em> from
+<a class="reference external" href="https://bookshop.org/a/98697/9781492089469">Bookshop.org</a> and
+<a class="reference external" href="https://amzn.to/334eqGo">Amazon</a>.</p>
+<section id="estimating-vaccine-efficacy">
 <h1>Estimating vaccine efficacy<a class="headerlink" href="#estimating-vaccine-efficacy" title="Permalink to this heading">#</a></h1>
 <p>In a recent vaccine trial, no one in the vaccinated group got the disease, so the makers of the vaccine reported that it is 100% effective. Of course, nothing in the real world is 100% effective, so this example raises a question: how do we estimate efficacy when the number of cases is 0?</p>
 <p>In this article, I present a Bayesian way to answer this question – and the answer turns out to be about 94%.</p>