Please post anything you find interesting on the web that helps explain Bayesian statistics

[Patrick McKnight]

Greetings,

I started this thread to help us keep the material organized.  Many of you posted useful links.  If you find the time, please repost them here.  Sorry for the redundancy.  

[Candice Stanfield-Wiswell]

Hi all,

Here is a master list of information for conducting ggplot2 visualizations with full R codes: http://r-statistics.co/Top50-Ggplot2-Visualizations-MasterList-R-Code.html

-Candice

[Patrick McKnight]

Here is an interesting post - perhaps not solely on Bayesian methods but certainly something that could be useful when thinking about evidence:

http://www.decisionsciencenews.com/2018/10/02/lucky-streaks-put-into-perspective/?utm_source=feedburner&utm_medium=email&utm_campaign=Feed%3A+DecisionScienceNews+%28Decision+Science+News%29

On Friday, September 28, 2018 at 8:45:34 AM UTC-4, Patrick McKnight wrote:

[Patrick McKnight]

Here are some readings that you may find useful when considering the frequentist/subjectivist debate:

1.  Birnbaum's original critique of the Likelihood principle

2.  Mayo's reply and remarks on Birnbaum's critique

3.  A synthesis of perspectives from Birnbaum and Mayo

I think you will find most of the discussion in these papers relatively easy to follow.  Just remember that the conditional probability assessing the evidence given the hypothesis (P(E | H)) represents (not exactly) the likelihood.  We focus in this class on the conditional probability of the hypothesis given the evidence (or P(H | E)).

Hope you find this material useful.

On Friday, September 28, 2018 at 8:45:34 AM UTC-4, Patrick McKnight wrote:

[Patrick McKnight]

Candice,

Really nice stuff!  I had not seen that before.  Sorry for the late reply.  The page required a ton of time to load when I first saw the message.  Others - please check this page out.  You will find a treasure trove of code suggestions after looking at each of the figures.  Thanks again for posting.  

[Patrick McKnight]

Thanks to Kristin, here is another resource you might find useful:

http://xcelab.net/rmpubs/rethinking/Statistical_Rethinking_sample.pdf

On Friday, September 28, 2018 at 8:45:34 AM UTC-4, Patrick McKnight wrote:

[Kristin Carpenter]

Hi all, 

Note that the link Patrick sent is just a sample, not the entire book. But, the table of contents gives you a good idea of topics.

Kristin

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[Patrick McKnight]

Rats!  OK, I will keep looking.  Mind you, I am a huge proponent of intellectual property, however, I know many of you do not have sufficient cash reserves to afford books (or beer).  

Cheers,

Patrick

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[Kristin Carpenter]

Despite being married to an intellectual property and patent attorney, I have no shame bringing in my copy if you have a grad student that could run off a pdf of the first few chapters. They are the crux conceptually at least. But if no one wants to read it then no worries!