USB sticks? 😱
Posts by Michael Höhle
Heiko Dunkel at the Greifswald Science slam: "Why Matthew studies Mathematics - Implicit Egotism among Academics"
youtu.be/ejdDMFJk6y0?...
📢 Come work with us!
🏛️ Faculty of Economics & Statistics, UIBK @econstatuibk.bsky.social @uniinnsbruck.bsky.social
‼️ Three job openings for Full Professor positions
- Data Science
- Microeconomics
- Behavioral Economics
Please share! #datascience #economics
www.uibk.ac.at/de/info-beru...
Do you like situational awareness of infectious diseases (who doesn't). Do you like thinking about modelling with this aim in mind? Do you feel like its a bit of a niche and hard to find people to talk to about it?
We have a forum: community.epinowcast.org for you.
Oh no, absolute paths! 😱🙃
data <- read.csv("/Users/boyuan/Desktop/R/gallery/DATASETS/US_disease.csv")
Heatmaps for eight infections diseases in the US: poilio, mumps, rubbella. hepatitis A, ... Each one has the US states in rows and year in columns, with a thick black line showing the year that a vaccine against that disease was introduced. Cells are colored by the number of cases of that disease.
Graphic #rstats reminder that vaccines work 📊
www.databrewer.co/R/gallery/gg...
Happy π day!
Calculating the circumference and area of a circle with Lego.
www.youtube.com/watch?v=tDnA...
More inspiration:
www.youtube.com/watch?v=uVYG...
Michael Höhle @mhoehle.bsky.social
A Lego proof of (a+b)^3 = a^3 + 3·a^2·b + 3·a·b^2 + b^3.
youtu.be/Clz1Ud06EPQ
(inspired by the fantastic "The Book of Numbers")
Math is beautiful.
youtu.be/kaYQg6AteQ0
My colleague Joscha Diehl in Greifswald is hiring an AI/XR research assistant. Applicants from Poland are particularly encouraged to apply: bazaogloszen.nauka.gov.pl/oferta/assis...
Small update to the blog post, which now uses sparse matrix algebra and the canonical form of the Markov chain to compute the attacker's win probability faster.
Part 2 of the collaboration with Terence Tao on the cosmic distance ladder is now out. It covers how we first learned the distances to planets, stars, and galaxies far, far away.
youtu.be/hFMaT9oRbs4
A screenshot of the Troll interface.
Most surprising discovery of the research behind the post: The Troll dice roller and probability calculator
topps.diku.dk/torbenm/trol...
It can help you solve any dice probability problem or board game dice question.
TLDR: If A is the number of dice the attacker has and D is the defender's number of dice then attack if A≥1.2204+0.8525⋅D.
Enjoying the free time from classes to finally write a blog post again:
Risky Risk Results - mhoehle.github.io/blog/2025/02...
The work was inspired by a #Numberphile episode about calculating the probabilities of winning in the Game of Risk. @marcusdusautoy.bsky.social #rstats #probability
New video! Terence Tao on how we measure the cosmos: youtu.be/YdOXS_9_P4U
Occupational risk (of the photographer as well as of the reader)
Oops, sorry. Missed that part. That's when you don't copy & paste. Thanks for clarifying!
Thanks for sharing & making me interested in the challenge! 😀 Not sure I fully understand why this works, because the recursive use of "safe" goes against the "one record wrong" instruction, i.e. the result of safe(c(100,2,3,10,5), damp=TRUE) would be TRUE, even though there are 2 wrong records?
Besides the recommendations in the thread I also came across
Fieberg, John R. (2024). Statistics for Ecologists: A Frequentist and Bayesian Treatment of Modern Regression Models. University of Minnesota Libraries Publishing. hdl.handle.net/11299/260227
Thanks! I've used that & the cool videos going with it for a Bayes course , but it's a little lightweight on the math IMHO. I teach mostly math students who are appear a little uncomfortable when there is no equation - I am too at times 😀.
Thx for the refs! I didn't know the first one, looks like it could fit well and contains the modern R perspective.
I'm teaching an applied regression course this fall. Any recommendations on good up2date (e)-books covering the use of mixed models with R? (I guess I'm looking for the successor of Pinheiro and Bates with a little less math..)
Interesting read, where the authors show, that a previous claim in a publication by Whitehouse et al. about an inferior fit of our pomp rotavirus model is simply due to different scaling of the data. Will be interesting to see if a correction will follow.