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diff --git a/01_Introduction.Rmd b/01_Introduction.Rmd
@@ -26,7 +26,7 @@ The paragraphs above are a long-winded way of saying that I acknowledge that wha
 
 The book's layout is currently in six broad categories:
 
-### Data Science \@ref(DataScience)
+### Data Science \@ref(datasciencedefined)
 
 Combining chapters about the scope and definitions of data science (Chapter \@ref(datasciencedefined): This thing called "data science"), along with overviews of good research practice, from opinionated analysis design to script style (Chapter \@ref(practice): Statistical & Data Science Practice).
 

diff --git a/02_data_science_defined.Rmd b/02_data_science_defined.Rmd
@@ -3,15 +3,6 @@
 
 # This thing called "data science" {#datasciencedefined}
 
-```{r echo = FALSE}
-library(knitr)
-opts_chunk$set(message = FALSE, warning = FALSE, cache = TRUE)
-options(width = 100, dplyr.width = 100)
-library(ggplot2)
-theme_set(theme_light())
-```
-
-
 
 ***
 
@@ -30,7 +21,7 @@ Hadley Wickham (2018) [Readings in Applied Data Science](https://github.com/hadl
 David Robinson (2018-01-09) ["What's the difference between data science, machine learning, and artificial intelligence?"](http://varianceexplained.org/r/ds-ml-ai/)
 
 
-<blockquote class="twitter-tweet" data-lang="en"><p lang="en" dir="ltr">Let&#39;s try that again <a href="https://t.co/1G4wHvGvdd">pic.twitter.com/1G4wHvGvdd</a></p>&mdash; Data Science Renee (@BecomingDataSci) <a href="https://twitter.com/BecomingDataSci/status/773001808096661504?ref_src=twsrc%5Etfw">September 6, 2016</a></blockquote>
+<blockquote class="twitter-tweet" data-lang="en"><p lang="en" dir="ltr">Let&#39;s try that again <a href="https://t.co/1G4wHvGvdd">pic.twitter.com/1G4wHvGvdd</a></p>&mdash; Data Science Renee (/@/BecomingDataSci) <a href="https://twitter.com/BecomingDataSci/status/773001808096661504?ref_src=twsrc%5Etfw">September 6, 2016</a></blockquote>
 
 Mango Solutions (2018-08-15) ["Demystifying Data Science Terminology"](https://www.mango-solutions.com/blog/demystifying-data-science-terminology)
 
@@ -128,7 +119,7 @@ Samantha Leonard, ["6 Must-Have Skills For Data Analysts"](https://www.northeast
 
 ### Statistics and other quantitative methods: courses and text books
 
-<blockquote class="twitter-tweet" data-lang="en"><p lang="en" dir="ltr">R advice needed - I am (thinking of) switching my undergrad &#39;metrics class from Stata to R.  2 questions: 1 - what exactly do my students (and I!) need to download to use R  2 - what introductory tutorial is most helpful for students (and me)</p>&mdash; Amanda Agan (@amandayagan) <a href="https://twitter.com/amandayagan/status/1078392069503229958?ref_src=twsrc%5Etfw">December 27, 2018</a></blockquote>
+<blockquote class="twitter-tweet" data-lang="en"><p lang="en" dir="ltr">R advice needed - I am (thinking of) switching my undergrad &#39;metrics class from Stata to R.  2 questions: 1 - what exactly do my students (and I!) need to download to use R  2 - what introductory tutorial is most helpful for students (and me)</p>&mdash; Amanda Agan (/@/amandayagan) <a href="https://twitter.com/amandayagan/status/1078392069503229958?ref_src=twsrc%5Etfw">December 27, 2018</a></blockquote>
 <script async src="https://platform.twitter.com/widgets.js" charset="utf-8"></script>
 
 

diff --git a/03_data_science_practice.Rmd b/03_data_science_practice.Rmd
@@ -1,15 +1,6 @@
 # Statistical & Data Science Practice {#practice}
 
 
-```{r echo = FALSE}
-library(knitr)
-opts_chunk$set(message = FALSE, warning = FALSE, cache = TRUE)
-options(width = 100, dplyr.width = 100)
-library(ggplot2)
-theme_set(theme_light())
-```
-
-
 
 First, an excellent list of data science resources:
 
@@ -98,15 +89,15 @@ An over-arching structure of what a project could (or should?) look like can be
 
 * Emily Robinson, [Red Flags in Data Science Interviews](http://hookedondata.org/Red-Flags-in-Data-Science-Interviews/)
 
-<blockquote class="twitter-tweet" data-lang="en"><p lang="en" dir="ltr">New blog post, co-written with <a href="https://twitter.com/skyetetra?ref_src=twsrc%5Etfw">@skyetetra</a>! 12 red flags to watch out for in data science interviews 🚩<a href="https://t.co/hM2E7I46Da">https://t.co/hM2E7I46Da</a> <a href="https://t.co/jFVA7mmjjU">pic.twitter.com/jFVA7mmjjU</a></p>&mdash; Emily Robinson (@robinson_es) <a href="https://twitter.com/robinson_es/status/1014164367292747778?ref_src=twsrc%5Etfw">July 3, 2018</a></blockquote>
+<blockquote class="twitter-tweet" data-lang="en"><p lang="en" dir="ltr">New blog post, co-written with <a href="https://twitter.com/skyetetra?ref_src=twsrc%5Etfw">/@/skyetetra</a>! 12 red flags to watch out for in data science interviews 🚩<a href="https://t.co/hM2E7I46Da">https://t.co/hM2E7I46Da</a> <a href="https://t.co/jFVA7mmjjU">pic.twitter.com/jFVA7mmjjU</a></p>&mdash; Emily Robinson (/@/robinson_es) <a href="https://twitter.com/robinson_es/status/1014164367292747778?ref_src=twsrc%5Etfw">July 3, 2018</a></blockquote>
 <script async src="https://platform.twitter.com/widgets.js" charset="utf-8"></script>
 
 
 
 
 ## Reproducible research
 
-<blockquote class="twitter-tweet" data-lang="en"><p lang="en" dir="ltr">This is the future. Show. Your. Damn. Work. <a href="https://t.co/4GWFdXSs17">https://t.co/4GWFdXSs17</a></p>&mdash; Chris Albon (@chrisalbon) <a href="https://twitter.com/chrisalbon/status/953078784084754433?ref_src=twsrc%5Etfw">January 16, 2018</a></blockquote>
+<blockquote class="twitter-tweet" data-lang="en"><p lang="en" dir="ltr">This is the future. Show. Your. Damn. Work. <a href="https://t.co/4GWFdXSs17">https://t.co/4GWFdXSs17</a></p>&mdash; Chris Albon (/@/chrisalbon) <a href="https://twitter.com/chrisalbon/status/953078784084754433?ref_src=twsrc%5Etfw">January 16, 2018</a></blockquote>
 <script async src="https://platform.twitter.com/widgets.js" charset="utf-8"></script>
 
 
@@ -145,7 +136,7 @@ Economics	&	Econometrics"](https://www.tse-fr.eu/sites/default/files/TSE/documen
 
 ### spreadsheets: the anti-reproducible research
 
-<blockquote class="twitter-tweet" data-lang="en"><p lang="en" dir="ltr">I read &quot;Data analysis without scripting&quot; as &quot;Dystopian moonscape of unrecorded user actions&quot;. I may not be Tableau&#39;s target market. <a href="https://twitter.com/hashtag/rstats?src=hash">#rstats</a></p>&mdash; Gordon Shotwell (@gshotwell) <a href="https://twitter.com/gshotwell/status/577485681146097664">March 16, 2015</a></blockquote>
+<blockquote class="twitter-tweet" data-lang="en"><p lang="en" dir="ltr">I read &quot;Data analysis without scripting&quot; as &quot;Dystopian moonscape of unrecorded user actions&quot;. I may not be Tableau&#39;s target market. <a href="https://twitter.com/hashtag/rstats?src=hash">#rstats</a></p>&mdash; Gordon Shotwell (/@/gshotwell) <a href="https://twitter.com/gshotwell/status/577485681146097664">March 16, 2015</a></blockquote>
 <script async src="//platform.twitter.com/widgets.js" charset="utf-8"></script>
 
 
@@ -154,7 +145,7 @@ Economics	&	Econometrics"](https://www.tse-fr.eu/sites/default/files/TSE/documen
 
 * Ignasi Bartomeus and F Rodriguez-Sanchez,  _Non-reproducible workflows: a horror movie_ :
 
-<blockquote class="twitter-tweet" data-lang="en"><p lang="en" dir="ltr">That awesome video on reproducibility with <a href="https://twitter.com/hashtag/rstats?src=hash&amp;ref_src=twsrc%5Etfw">#rstats</a> by <a href="https://twitter.com/ibartomeus?ref_src=twsrc%5Etfw">@ibartomeus</a> and <a href="https://twitter.com/frod_san?ref_src=twsrc%5Etfw">@frod_san</a> you can find here: <a href="https://t.co/indBflvupv">https://t.co/indBflvupv</a> <a href="https://t.co/QcdonwVTk8">https://t.co/QcdonwVTk8</a></p>&mdash; David Smith (@revodavid) <a href="https://twitter.com/revodavid/status/917779772385656832?ref_src=twsrc%5Etfw">October 10, 2017</a></blockquote>
+<blockquote class="twitter-tweet" data-lang="en"><p lang="en" dir="ltr">That awesome video on reproducibility with <a href="https://twitter.com/hashtag/rstats?src=hash&amp;ref_src=twsrc%5Etfw">#rstats</a> by <a href="https://twitter.com/ibartomeus?ref_src=twsrc%5Etfw">/@/ibartomeus</a> and <a href="https://twitter.com/frod_san?ref_src=twsrc%5Etfw">/@/frod_san</a> you can find here: <a href="https://t.co/indBflvupv">https://t.co/indBflvupv</a> <a href="https://t.co/QcdonwVTk8">https://t.co/QcdonwVTk8</a></p>&mdash; David Smith (/@/revodavid) <a href="https://twitter.com/revodavid/status/917779772385656832?ref_src=twsrc%5Etfw">October 10, 2017</a></blockquote>
 
     - with more at [Reproducibilidad](http://ecoinfaeet.github.io/2016/07/06/reproducibilidad/)
 
@@ -221,7 +212,7 @@ Reproducible Science Workshop, 2015
 * Karl Broman and Kara Woo, ["Data organization in spreadsheets"](http://www.tandfonline.com/doi/full/10.1080/00031305.2017.1375989), _The American Statistician_, 2017-09-29.
 
 
-<blockquote class="twitter-tweet" data-lang="en"><p lang="en" dir="ltr">For data scientists thinking about biases in your data, don&#39;t start by reading the computer science literature. Read epidemiology instead. You need data street smarts, not mathy book smarts. Otherwise the first data set you meet is going to beat you up and take your lunch money!</p>&mdash; Kareem ❤️ statistics (@kareem_carr) <a href="https://twitter.com/kareem_carr/status/1094993530097991680?ref_src=twsrc%5Etfw">February 11, 2019</a></blockquote>
+<blockquote class="twitter-tweet" data-lang="en"><p lang="en" dir="ltr">For data scientists thinking about biases in your data, don&#39;t start by reading the computer science literature. Read epidemiology instead. You need data street smarts, not mathy book smarts. Otherwise the first data set you meet is going to beat you up and take your lunch money!</p>&mdash; Kareem ❤️ statistics (/@/kareem_carr) <a href="https://twitter.com/kareem_carr/status/1094993530097991680?ref_src=twsrc%5Etfw">February 11, 2019</a></blockquote>
 <script async src="https://platform.twitter.com/widgets.js" charset="utf-8"></script>
 
 
@@ -238,7 +229,7 @@ Hadley Wickham, [The tidyverse style guide](https://style.tidyverse.org/)
 
 Hadley Wickham, ["Style Guide"](http://adv-r.had.co.nz/Style.html) chapter from [_Advanced R_](http://adv-r.had.co.nz/)
 
-[Coding etiquette](https://ourcodingclub.github.io/2017/04/25/etiquette.html), a guide to writing clear, informative and easy-to-use #RStats code by @CodingClub 
+[Coding etiquette](https://ourcodingclub.github.io/2017/04/25/etiquette.html), a guide to writing clear, informative and easy-to-use #RStats code by /@/CodingClub 
 
 
 Joel Lee, 2017-12=22, [The Weirdest Programming Principles You’ve Never Heard Of](https://www.makeuseof.com/tag/weird-programming-principles/)
@@ -252,7 +243,7 @@ John D. Blischak, Emily R. Davenport, Greg Wilson (2016-01-19) ["A Quick Introdu
 
 ### Documentation
 
-<blockquote class="twitter-tweet" data-lang="en"><p lang="en" dir="ltr">&quot;Writing documentation is all about making future you remember things that present you knows future you will forget&quot; -- <a href="https://twitter.com/data_stephanie?ref_src=twsrc%5Etfw">@data_stephanie</a> <a href="https://twitter.com/hashtag/rstats?src=hash&amp;ref_src=twsrc%5Etfw">#rstats</a> <a href="https://twitter.com/hashtag/Rladies?src=hash&amp;ref_src=twsrc%5Etfw">#Rladies</a></p>&mdash; R-Ladies Chicago (@RLadiesChicago) <a href="https://twitter.com/RLadiesChicago/status/963576859152744456?ref_src=twsrc%5Etfw">February 14, 2018</a></blockquote>
+<blockquote class="twitter-tweet" data-lang="en"><p lang="en" dir="ltr">&quot;Writing documentation is all about making future you remember things that present you knows future you will forget&quot; -- <a href="https://twitter.com/data_stephanie?ref_src=twsrc%5Etfw">/@/data_stephanie</a> <a href="https://twitter.com/hashtag/rstats?src=hash&amp;ref_src=twsrc%5Etfw">#rstats</a> <a href="https://twitter.com/hashtag/Rladies?src=hash&amp;ref_src=twsrc%5Etfw">#Rladies</a></p>&mdash; R-Ladies Chicago (/@/RLadiesChicago) <a href="https://twitter.com/RLadiesChicago/status/963576859152744456?ref_src=twsrc%5Etfw">February 14, 2018</a></blockquote>
 
 
 
@@ -299,7 +290,7 @@ Dani Marillas, 2017-01-25, ["Don’t document your code. Code your documentation
 
 ## General research practice
 
-<blockquote class="twitter-tweet" data-lang="en"><p lang="en" dir="ltr">I didn&#39;t think my &quot;start-up&quot; document for my grad students (the resources I wish *I* had when I started a PhD) would prove to be so popular, so I figured I would share them here. So, here&#39;s what I&#39;ve compiled so far. <a href="https://twitter.com/hashtag/hiddencurriculum?src=hash&amp;ref_src=twsrc%5Etfw">#hiddencurriculum</a> 1/12</p>&mdash; Matt Hauer (@thehauer) <a href="https://twitter.com/thehauer/status/1021179403680862218?ref_src=twsrc%5Etfw">July 22, 2018</a></blockquote>
+<blockquote class="twitter-tweet" data-lang="en"><p lang="en" dir="ltr">I didn&#39;t think my &quot;start-up&quot; document for my grad students (the resources I wish *I* had when I started a PhD) would prove to be so popular, so I figured I would share them here. So, here&#39;s what I&#39;ve compiled so far. <a href="https://twitter.com/hashtag/hiddencurriculum?src=hash&amp;ref_src=twsrc%5Etfw">#hiddencurriculum</a> 1/12</p>&mdash; Matt Hauer (/@/thehauer) <a href="https://twitter.com/thehauer/status/1021179403680862218?ref_src=twsrc%5Etfw">July 22, 2018</a></blockquote>
 
 
 

diff --git a/10_data_theory.rmd b/10_data_theory.rmd
@@ -3,14 +3,6 @@
 # Data Theory {#datatheory}
 
 
-```{r echo = FALSE}
-library(knitr)
-opts_chunk$set(message = FALSE, warning = FALSE, cache = TRUE)
-options(width = 100, dplyr.width = 100)
-library(ggplot2)
-theme_set(theme_light())
-```
-
 
 
 

diff --git a/11_data_sources.rmd b/11_data_sources.rmd
@@ -1,16 +1,6 @@
 # Data Sources & How to Read Them {#datasources}
 
 
-```{r echo = FALSE}
-library(knitr)
-opts_chunk$set(message = FALSE, warning = FALSE, cache = TRUE)
-options(width = 100, dplyr.width = 100)
-library(ggplot2)
-theme_set(theme_light())
-```
-
-
-
 
 ## Introduction
 
@@ -43,7 +33,7 @@ Simon Fraser University Library: [Gender, Sexuality & Women's Studies Informatio
 [Gapminder](https://www.gapminder.org/data/) - all indicators displayed in Gapminder World
 
 
-<blockquote class="twitter-tweet" data-lang="en"><p lang="en" dir="ltr">Anyone know of a good migration dataset? Ideally # of people moving from country i to country j by year</p>&mdash; Savage Jim (@jim_savage_) <a href="https://twitter.com/jim_savage_/status/1094672164928802816?ref_src=twsrc%5Etfw">February 10, 2019</a></blockquote>
+<blockquote class="twitter-tweet" data-lang="en"><p lang="en" dir="ltr">Anyone know of a good migration dataset? Ideally # of people moving from country i to country j by year</p>&mdash; Savage Jim (/@/jim_savage_) <a href="https://twitter.com/jim_savage_/status/1094672164928802816?ref_src=twsrc%5Etfw">February 10, 2019</a></blockquote>
 <script async src="https://platform.twitter.com/widgets.js" charset="utf-8"></script>
 
 

diff --git a/12_data_reading_fileformat.rmd b/12_data_reading_fileformat.rmd
@@ -1,15 +1,6 @@
 # How to Read Data {#dataformat}
 
 
-```{r echo = FALSE}
-library(knitr)
-opts_chunk$set(message = FALSE, warning = FALSE, cache = TRUE)
-options(width = 100, dplyr.width = 100)
-library(ggplot2)
-theme_set(theme_light())
-```
-
-
 
 
 ## Introduction

diff --git a/13_anonymity_confidentiality.Rmd b/13_anonymity_confidentiality.Rmd
@@ -2,13 +2,6 @@
 **_Or,_ Statistical Disclosure Control, Masking, and De-Identification**
 
 
-```{r echo = FALSE}
-library(knitr)
-opts_chunk$set(message = FALSE, warning = FALSE, cache = TRUE)
-options(width = 100, dplyr.width = 100)
-library(ggplot2)
-theme_set(theme_light())
-```
 
 
 ## Introduction

diff --git a/15_data_wrangling.Rmd b/15_data_wrangling.Rmd
@@ -1,16 +1,6 @@
 # Data Wrangling (emphasis on **dplyr**) {#datawrangling}
 
 
-```{r echo = FALSE}
-library(knitr)
-opts_chunk$set(message = FALSE, warning = FALSE, cache = TRUE)
-options(width = 100, dplyr.width = 100)
-library(ggplot2)
-theme_set(theme_light())
-```
-
-
-
 
 ## Introduction
 
@@ -36,7 +26,7 @@ Luis D. Verde, 2018-12-14, [Tidyeval meets PDF table hell](http://luisdva.github
 
 ### Working with dates
 
-<blockquote class="twitter-tweet" data-lang="en"><p lang="en" dir="ltr">Updated Turing Test concept:<br>A spreadsheet of dates, hand-entered by interns more than a decade ago, featuring such well-known time formats as &quot;1996ish&quot;, &quot;1941/xd01944&quot;, &quot;1955?&quot; and &quot;WWII.&quot;<br>I&#39;m not worried about AI until someone shows me the algorithm that can make sense of this. <a href="https://t.co/IhzofigX2b">pic.twitter.com/IhzofigX2b</a></p>&mdash; Brooke Watson (@brookLYNevery1) <a href="https://twitter.com/brookLYNevery1/status/954368989181902848?ref_src=twsrc%5Etfw">January 19, 2018</a></blockquote>
+<blockquote class="twitter-tweet" data-lang="en"><p lang="en" dir="ltr">Updated Turing Test concept:<br>A spreadsheet of dates, hand-entered by interns more than a decade ago, featuring such well-known time formats as &quot;1996ish&quot;, &quot;1941/xd01944&quot;, &quot;1955?&quot; and &quot;WWII.&quot;<br>I&#39;m not worried about AI until someone shows me the algorithm that can make sense of this. <a href="https://t.co/IhzofigX2b">pic.twitter.com/IhzofigX2b</a></p>&mdash; Brooke Watson (/@/brookLYNevery1) <a href="https://twitter.com/brookLYNevery1/status/954368989181902848?ref_src=twsrc%5Etfw">January 19, 2018</a></blockquote>
 <script async src="https://platform.twitter.com/widgets.js" charset="utf-8"></script>
 
 

diff --git a/40_data_visualization.Rmd b/40_data_visualization.Rmd
@@ -3,13 +3,6 @@
 
 # General {#datavisualization}
 
-```{r echo = FALSE}
-library(knitr)
-opts_chunk$set(message = FALSE, warning = FALSE, cache = TRUE)
-options(width = 100, dplyr.width = 100)
-library(ggplot2)
-theme_set(theme_light())
-```
 
 ## Introduction
 

diff --git a/41_chart_types.Rmd b/41_chart_types.Rmd
@@ -1,12 +1,5 @@
 # Chart types {#charttypes}
 
-```{r echo = FALSE}
-library(knitr)
-opts_chunk$set(message = FALSE, warning = FALSE, cache = TRUE)
-options(width = 100, dplyr.width = 100)
-library(ggplot2)
-theme_set(theme_light())
-```
 
 
 ## Chart types: theory and methods
@@ -26,7 +19,7 @@ Laura DeCicco, 2018-08-10, [Exploring ggplot2 boxplots - Defining limits and adj
 Ron Pearson, 2011-01-29, [Boxplots and Beyond – Part I](https://www.r-bloggers.com/boxplots-and-beyond-part-i/) (first in a multi-part series on various distribution plots)
 
 
-<blockquote class="twitter-tweet" data-lang="en"><p lang="en" dir="ltr">More papers should use this plot type!! <a href="https://t.co/iEglulaMyM">pic.twitter.com/iEglulaMyM</a></p>&mdash; Johanna Rickne (@johannarickne) <a href="https://twitter.com/johannarickne/status/1028174230146478080?ref_src=twsrc%5Etfw">August 11, 2018</a></blockquote>
+<blockquote class="twitter-tweet" data-lang="en"><p lang="en" dir="ltr">More papers should use this plot type!! <a href="https://t.co/iEglulaMyM">pic.twitter.com/iEglulaMyM</a></p>&mdash; Johanna Rickne (/@/johannarickne) <a href="https://twitter.com/johannarickne/status/1028174230146478080?ref_src=twsrc%5Etfw">August 11, 2018</a></blockquote>
 <script async src="https://platform.twitter.com/widgets.js" charset="utf-8"></script>
 
 

diff --git a/50_quantitative_methods.Rmd b/50_quantitative_methods.Rmd
@@ -3,13 +3,6 @@
 
 # Introduction {#quantitativemethods1}
 
-```{r echo = FALSE}
-library(knitr)
-opts_chunk$set(message = FALSE, warning = FALSE, cache = TRUE)
-options(width = 100, dplyr.width = 100)
-library(ggplot2)
-theme_set(theme_light())
-```
 
 
 ## Business analytics 

diff --git a/51_bayesian.Rmd b/51_bayesian.Rmd
@@ -1,35 +1,28 @@
 # Bayesian Methods {#bayesian}
 
-```{r echo = FALSE}
-library(knitr)
-opts_chunk$set(message = FALSE, warning = FALSE, cache = TRUE)
-options(width = 100, dplyr.width = 100)
-library(ggplot2)
-theme_set(theme_light())
-```
 
 
 
 ### Theory and methods
 
 [Bayesian statistics: Wikipedia page](https://en.wikipedia.org/wiki/Bayesian_statistics)
 
-Andrew Gelman, John B. Carlin, Hal S. Stern, David B. Dunson, Aki Vehtari, and Donald B. Rubin, 2014, _Bayesian Data Analysis_ (third edition), CRC Press.
+Andrew Gelman et al., _Bayesian Data Analysis_ (third edition) [@Gelman_etal_2014].
 
 Robert Grant (2018-08-07) [How (not) to introduce newcomers to Bayesian analysis](https://robertgrantstats.wordpress.com/2018/08/07/how-not-to-introduce-newcomers-to-bayesian-analysis/)
 
 
 #### R-based
 
-Richard McElreath, 2016, _Statistical Rethinking: A Bayesian Course with Examples in R and Stan_, CRC Press.
+Richard McElreath, 2016, _Statistical Rethinking: A Bayesian Course with Examples in R and Stan_ [@McElreath_2016].
 
 * [`rethinking`](https://github.com/rmcelreath/rethinking), the companion R package
 
 * [McElreath's YouTube channel](https://www.youtube.com/channel/UCNJK6_DZvcMqNSzQdEkzvzA), with Statistical Rethinking lectures
 
 
 
-Jim Albert, 2009, _Bayesian Computation with R_ (second edition), Springer
+Jim Albert, _Bayesian Computation with R_ [@Albert_2009]
 
 
 David Robinson, [_Introduction to Empirical Bayes_](https://gumroad.com/l/empirical-bayes)