This is for fans of #NoMansSky and #statistics I decided to turn my gameplay into a potential inferential statistics lesson. Nanite farming specifically. This is what I discovered feeding Delicious Vegetable Stew to Cronus in the Nexus. Yes. I repeatedly fed him stew 325 times, and wrote down 168 of those attempts in sequence. Here is the result of that experiment. I should point out that twice in all my attempts I received 329 nanites but that occurred outside these 168 recorded trials.
(1/2) Shiny Apps for demystifying statistical models and methods 🚀
This is a cool website that explains different statistical concepts with the use of interactive Shiny Apps. Ben Prytherch made this website from the Department of Statistics at Colorado State University.
For model calibration (esp via logistic regression), does anyone know of a statistical investigation of the properties of the resulting calibrated predictions?
IOW, if we use predictions from one model as inputs to another model, do we know the probability distribution of the final predictions?
I don't think many of my stats folks are here, but FYI - I am registered for this year's Joint Statistical Meetings! Hope to see a bunch of friends there
So I'm probably going to be nerd sniped into developing a Jupyter notebook to examine the question of how well are mid income families 2 adults and 2 kids doing relative to how well their parents were doing 30 years earlier. I'm going to use a dirichlet prior over the weights on a 5 item CPI based expense index. The missing part is paired nominal earnings of people and their parents... Anyone know a dataset #statistics#data#economics@economics@a.gup.pe
Happy birthday to founder of modern nursing, social reformer, statistician, data visualization innovator & writer Florence Nightingale (1820 – 1910)!
Nightingale earned the nickname "The Lady with the Lamp" during the Crimean War, from a phrase used by The Times, describing her as a “ministering angel” making her solitary rounds of the hospital at night with “a little lamp in her hand”. 🧵1/n
#linocut#printmaking#sciart#womenInSTEM#datavis#nursing#statistics#mathart#MastoArt
English social reformer, statistician and the founder of modern nursing Florence Nightingale was born #OTD in 1820.
Nightingale became famous for her work as a nurse during the Crimean War (1853–1856). Beyond her work in the Crimean War, Nightingale was a prolific writer and statistician. She used statistical methods to analyze and present data on healthcare and public health, making significant contributions to the field of medical statistics.
In #QuantumFieldTheory, scattering amplitudes can be computed as sums of (very many) #FeynmanIntegral s. They contribute differently much, with most integrals contributing near the average (scaled to 1.0 in the plots), but a "long tail" of integrals that are larger by a significant factor.
We looked at patterns in these distributions, and one particularly striking one is that if instead of the Feynman integral P itself, you consider 1 divided by root of P, the distribution is almost Gaussian! To my knowledge, this is the first time anything like this has been observed. We only looked at one quantum field theory, the "phi^4 theory in 4 dimensions". It would be interesting to see if this is coincidence for this particular theory and class of Feynman integrals, or if it persists universally.
More background and relevant papers at https://paulbalduf.com/research/statistics-periods/ #quantum#physics#statistics
Here's the logical structure of what you will be taught in terms of #statistics as a masters student in pretty much any #science field.
If MY DATA is a sample from two random number generators of PARTICULAR TYPE, and MY TEST has a small p value then MY FAVORITE EXPLANATION FOR THE DIFFERENCES IS TRUE.
This is, quite simply, a logical fallacy. The first thing wrong is that your data IS NOT a sample from a random number generator of that particular type. So we can ignore the rest logically.
Here it is people. A PhD student describing details of what they've come to realize is the completely scientifically bankrupt methodologies their high-powered successful, well funded lab PI demands the lab members do. Everything this person says is basically commonplace in todays labs #science#openscience#statistics#bayesian
useR! 2024, the global R user conference, will be taking place in Salzburg, Austria (as well as virtually) in July 2024. We have a full lineup of giants in the field of data science. Thank you Maëlle Salmon for being a part of the conference!
Maëlle Salmon, with a PhD in statistics, is a Research Software Engineer and blogger.
The plotting, statistical, and data selection tools in the mapdata.py data explorer (https://pypi.org/project/mapdata/) can be used even if you don't have any map data. Just add dummy latitude and longitude values to the data table. Zeroes will do. The map and the dummy columns can both be hidden, and you can then explore the data table with the other available tools.
"The Death Spiral Effect: a vicious cycle of self-reinforcing dysfunctional behavior, characterized by continuous flawed decision making, myopic single-minded focus on one (set of) solution(s), resource loss, denial, distrust, micromanagement, dogmatic thinking and learned helplessness."
This week, PyMC version v5.13.0 was released. PyMC is one of the main #Python 🐍 libraries for 𝐁𝐚𝐲𝐞𝐬𝐢𝐚𝐧 statistics ❤️. It provides a framework for probabilistic programming, enabling users to build #Bayesian models with a simple Python API and fit them using 𝐌𝐚𝐫𝐤𝐨𝐯 𝐂𝐡𝐚𝐢𝐧 𝐌𝐨𝐧𝐭𝐞 𝐂𝐚𝐫𝐥𝐨 (MCMC) methods 🚀.
The new release includes new features, bug fixes 🐞, and documentation improvements 📖. More details on the release notes 📝 👇 #DataScience#machinelearning#statistics