Message-ID: <CAH-EiE5Udj10P62st8_Eabua=Mu3mZkT26Zf6d8PLGE8_u2ipQ@mail.gmail.com>
Date: 2019-03-12T12:47:00Z
From: Mine Cetinkaya-Rundel
Subject: Simple Bayes example
In-Reply-To: <MWHPR05MB343720F3AEA20B6A9345A71283490@MWHPR05MB3437.namprd05.prod.outlook.com>
Hi Mark,
I do a simple introduction to Bayesian inference in my intro stat/data
science courses with a discrete example -- these courses don't have a
calculus prerequisite so we don't go into the continuous examples.
- Dice game: Guess which hand I'm holding the good die -- slides that
walk through the game are at
https://www2.stat.duke.edu/courses/Fall18/sta112.01/slides/u3_d03-bayes-inf/u3_d03-bayes-inf.html#9
.
- Breast cancer screening: In the same lecture I also do a more
traditional cancer screening example -- slides that walk through that are
at
https://www2.stat.duke.edu/courses/Fall18/sta112.01/slides/u3_d03-bayes-inf/u3_d03-bayes-inf.html#38
.
- We have a Bayesian Statistics MOOC, and the materials in the first
week of that course are simple examples as well:
https://www.coursera.org/learn/bayesian?specialization=statistics. You
should be able to view the videos for free, though Coursera sometimes makes
this awfully difficult. I believe you're supposed to click on "Audit the
course" to view the videos for free. R labs that accompany this course can
be found at https://github.com/StatsWithR/labs (labs that start with
4.*). The first lab should be a simple example as well. It features a Shiny
app that demonstrates the process.
Best,
Mine
>
> ________________________________________
> From: R-sig-teaching <r-sig-teaching-bounces at r-project.org> on behalf of
> Cave, Mark R. <mrca at bgs.ac.uk>
> Sent: Monday, March 4, 2019 8:02 AM
> To: R-sig-teaching at r-project.org
> Subject: [R-sig-teaching] Simple Bayes example
>
> I am teaching a basic statistics course and I would like to include some
> simple examples of the Bayesian approach. Has anybody got any
> ideas/examples?
>
> Thanks
>
> Mark Cave
>
> Dr Mark Cave
> Medical Geology
> Groundwater
> British Geological Survey
> Keyworth
> Nottingham
> NG12 5GG
> UK
> E-mail: mrca at bgs.ac.uk<mailto:mrca at bgs.ac.uk <mrca at bgs.ac.uk>>
> Tel direct: 0115 9363526
> Tel switchboard: 0115 9363100
>
> Mark Cave Google Scholar<
> https://urldefense.proofpoint.com/v2/url?u=https-3A__scholar.google.co.uk_citations-3Fhl-3Den-26user-3D2mXB2ywAAAAJ-26view-5Fop-3Dlist-5Fworks-26sortby-3Dpubdate&d=DwICAg&c=imBPVzF25OnBgGmVOlcsiEgHoG1i6YHLR0Sj_gZ4adc&r=VMaFnDxOO7DFh_jmcYrq6Oi2_V_d1YoR6dsQ-kCSJjw&m=5EA9TG8J0yXkE-uIF0x9QvcuobqV3ef5nlZXifadt2I&s=zrQ9XZnxh8j6OawmQK6iedn5tyZCNjjxf63qVMSX2GQ&e=
> >
>
>
>
>
>
>
>
> This email and any attachments are intended solely for the use of the
> named recipients. If you are not the intended recipient you must not use,
> disclose, copy or distribute this email or any of its attachments and
> should notify the sender immediately and delete this email from your system.
> UK Research and Innovation has taken every reasonable precaution to
> minimise risk of this email or any attachments containing viruses or
> malware but the recipient should carry out its own virus and malware checks
> before opening the attachments. UK Research and Innovation does not accept
> any liability for any losses or damages which the recipient may sustain due
> to presence of any viruses.
> Opinions, conclusions or other information in this message and attachments
> that are not related directly to UK Research and Innovation business are
> solely those of the author and do not represent the views of UK Research
> and Innovation.
>
>
> [[alternative HTML version deleted]]
>
> _______________________________________________
> R-sig-teaching at r-project.org mailing list
>
> https://urldefense.proofpoint.com/v2/url?u=https-3A__stat.ethz.ch_mailman_listinfo_r-2Dsig-2Dteaching&d=DwICAg&c=imBPVzF25OnBgGmVOlcsiEgHoG1i6YHLR0Sj_gZ4adc&r=VMaFnDxOO7DFh_jmcYrq6Oi2_V_d1YoR6dsQ-kCSJjw&m=5EA9TG8J0yXkE-uIF0x9QvcuobqV3ef5nlZXifadt2I&s=trbb_mUJ_y6mcv8w-kwYpTuucTAxVks2UN88qTN07Ao&e=
>
[[alternative HTML version deleted]]