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 <[email protected]> on behalf of > Cave, Mark R. <[email protected]> > Sent: Monday, March 4, 2019 8:02 AM > To: [email protected] > 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: [email protected]<mailto:[email protected] <[email protected]>> > 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]] > > _______________________________________________ > [email protected] 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]] _______________________________________________ [email protected] mailing list https://stat.ethz.ch/mailman/listinfo/r-sig-teaching
