topepo, to statistics
@topepo@fosstodon.org avatar

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?

ansate, to statistics
@ansate@social.coop avatar

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

LabPlot, to datascience
@LabPlot@floss.social avatar

Below is just a small sample of plots that were created with .

@labplot

is a FREE, open source and cross-platform Data Visualization and Data Analysis software.

Would you like to share with us your plots made in LabPlot?

remixtures, to statistics Portuguese
@remixtures@tldr.nettime.org avatar

#Digitalization #Statistics: "We are inclined to assume that digital technologies have suddenly revolutionized everything – including our relationships, our forms of work and leisure, and even our democracies – in just a few years. Armin Nassehi puts forward a new theory of digital society that turns this assumption on its head. Rather than treating digital technologies as an independent causal force that is transforming social life, he asks: what problem does digitalization solve?

When we pose the question in this way, we can see, argues Nassehi, that digitalization helps societies to deal with and reduce complexity by using coded numbers to process information. We can also see that modern societies had a digital structure long before computer technologies were developed – already in the nineteenth century, for example, statistical pattern recognition technologies were being used in functionally differentiated societies in order to recognize, monitor and control forms of human behaviour. Digital technologies were so successful in such a short period of time and were able to penetrate so many areas of society so quickly precisely because of a pre-existing sensitivity that prepared modern societies for digital development.

This highly original book lays the foundations for a theory of the digital society that will be of value to everyone interested in the growing presence of digital technologies in our lives."

https://www.politybooks.com/bookdetail?book_slug=patterns-theory-of-the-digital-society--9781509558216

dlakelan, to statistics
@dlakelan@mastodon.sdf.org avatar

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 @economics@a.gup.pe

kevbob, to statistics
@kevbob@xoxo.zone avatar

The average parking lot in the US has 38.4% of cars with people staring at their phones for 30 minutes or more. 42.7% of those are scrolling through suggested TikTok videos. 23.8% of the cars leave the engine running.

#statistics

GregCocks, to worldwithoutus
@GregCocks@techhub.social avatar
KhouryVis, to random
@KhouryVis@vis.social avatar

Aloha to everyone at @chi this week! 🌴 Researchers from Northeastern, including our own @KhouryVis lab, have a big showing this year: https://www.khoury.northeastern.edu/khoury-researchers-showcase-record-28-works-at-chi-2024/

#HCI #CHI2024 #ACMCHI #DataVis #DataVisualization

KhouryVis,
@KhouryVis@vis.social avatar

“Odds and Insights: Decision Quality in Exploratory Data Analysis Under Uncertainty” ft. @Birdbassador https://programs.sigchi.org/chi/2024/program/content/146941

#HCI #CHI2024 #ACMCHI #DataVis #DataVisualization #Uncertainty #Statistics #DecisionMaking

VoxDei, to statistics
@VoxDei@qoto.org avatar

Particularly egregious misuse of stats from the Guardian: "Although more than a third of the women in the study had been sexually inactive during the past month, fewer than half expressed dissatisfaction with their sex lives."

Sooo... 1/3 inactive, >1/3 dissatisfied. And yet the article is trying to suggest it's at the other end of the scale by framing it as "fewer than half" and behaving as if it's surprising?

https://www.theguardian.com/lifeandstyle/article/2024/may/13/i-often-say-the-journey-time-is-longer-how-to-make-sex-after-50-work-for-you

bespacific, to statistics
@bespacific@newsie.social avatar

The #UN halved the number of female and under-18 Palestinian casualties in the Israel-Hamas war; earlier this month, the U.N. Office for the Coordination of Humanitarian Affairs stopped citing #statistics from the Hamas-run Government Media Office in its updates. A U.N. spokesperson blamed “the fog of war” for the office’s previously #inaccurate counts. https://nationalpost.com/news/world/israel-middle-east/united-nations-halves-estimate-of-women-and-children-killed-in-gaza #hamas #israel Today, under 5,000 women and 8,000 children are now officially listed by the UN as #casualties.

dlakelan, to random
@dlakelan@mastodon.sdf.org avatar

If you take the population and divide by the rate of housing starts per year, you get a quantity in dimensions of time and units of years. This quantity roughly speaking is related to the "longevity of a dwelling" you need to have in order for the housing per person that's available not to decline. So if real longevity of houses is more or less a constant, then when this graph is high housing availability is declining, and when it's low it's growing... There's a reason millennials feel cheated

dlakelan,
@dlakelan@mastodon.sdf.org avatar

Dagnab it, I am constantly wishing I had more text in my messages and forgetting to tag stuff in my first post. This message is just to tag @economics@a.gup.pe and some hash tags #economics #housing #data #statistics

This discussion is about housing longevity and the adequate production rate of housing starts to keep housing from becoming scarce. There's a graph in the first post that shows very interesting dynamics.

minouette, to Nursing
@minouette@spore.social avatar

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

gutenberg_org, to books
@gutenberg_org@mastodon.social avatar

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.

#books #statistics

"Diagram of the causes of mortality in the army in the East" by Florence Nightingale. Example of polar area diagram by Florence Nightingale (1820–1910). This "Diagram of the causes of mortality in the army in the East" was published in Notes on Matters Affecting the Health, Efficiency, and Hospital Administration of the British Army and sent to Queen Victoria in 1858. This graphic indicates the annual rate of mortality per 1,000 in each month that occurred from preventable diseases (in blue), those that were the results of wounds (in red), and those due to other causes (in black). The legend reads: The Areas of the blue, red, & black wedges are each measured from the centre as the common vertex. The blue wedges measured from the centre of the circle represent area for area the deaths from Preventable or Mitigable Zymotic diseases, the red wedges measured from the centre the deaths from wounds, & the black wedges measured from the centre the deaths from all other causes. The black line across the red triangle in Nov. 1854 marks the boundary of the deaths from all other causes during the month. In October 1854, & April 1855, the black area coincides with the red, in January & February 1856, the blue coincides with the black. The entire areas may be compared by following the blue, the red, & the black lines enclosing them.

gutenberg_org,
@gutenberg_org@mastodon.social avatar

"What nursing has to do … is to put the patient in the best condition for nature to act upon him."
Notes on Nursing (1860)

~Florence Nightingale (12 May 1820 – 13 August 1910)

Books about/by Florence Nightingale at PG:
https://www.gutenberg.org/ebooks/search/?query=Nightingale%2C+Florence&submit_search=Go%21

grimalkina, to random
@grimalkina@mastodon.social avatar

"Randomized trials cannot address all causal questions of importance in medicine and health policy and may have limited generalizability; thus, investigators may need to use observational studies as a source of evidence to address causal questions. The challenge, then, is to balance the importance of addressing the causal questions for which observational studies are needed with caution regarding the reliance on strong assumptions to support causal conclusions."

A challenge of our time truly

rdnielsen,
@rdnielsen@floss.social avatar

@grimalkina

"Many of us out here doing applied science have to entirely self-teach and un-learn poor statistics and poor methods training."

So true.

I see recent graduates with the same faulty NHST-based statistical education that I received decades ago. It's disappointing how poorly education has kept up with new and better statistical methods.

paulbalduf, to physics
@paulbalduf@mathstodon.xyz avatar

In , scattering amplitudes can be computed as sums of (very many) 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/

image/jpeg
image/jpeg

robsonfletcher, to Canada
@robsonfletcher@mas.to avatar

New registrations of gas/diesel vehicles and electric vehicles in Canada* over the past seven years.

(* Data excludes three provinces because that's how data works in this country 🤷‍♂️)

Column chart showing new battery-electric and plug-in-hybrid vehicle registrations growing from about 20,000 in 2017 to nearly 200,000 in 2023

dlakelan, to statistics
@dlakelan@mastodon.sdf.org avatar

Here's the logical structure of what you will be taught in terms of as a masters student in pretty much any 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.

stevensanderson, to random
@stevensanderson@mstdn.social avatar

Today I am writing on the AIC functions available in my hashtag#R hashtag#Package TidyDensity.

There are many of them, with many more on the way. Some of them are a little temperamental but not to worry it will all be addressed.

My approach is different then that of fitdistrplus which is an amazing package. I am trying to forgo the necessity of supplying a start list where it may at times be required.

Post: https://www.spsanderson.com/steveondata/posts/2024-05-06/

#R #RStats #RProgramming #Statistics #Coding #Data

dlakelan, to science
@dlakelan@mastodon.sdf.org avatar

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

https://www.reddit.com/r/PhD/comments/1cksfmd/i_realised_that_my_pi_and_research_group/

stevensanderson, to programming
@stevensanderson@mstdn.social avatar

working on the next release of TidyDensity

#R

stevensanderson,
@stevensanderson@mstdn.social avatar
stevensanderson, to programming
@stevensanderson@mstdn.social avatar

Want a simple form of #MCMC analysis in #R well, I got you covered.

My #R #Package TidyDensity has a function called tidy_mcmc_sampling() that is pretty straight forward. It takes a raw vector and performs the calculation you give it over a default of 2k samples.

I hope you find it useful.

#R #RStats #RProgramming #Programming #Statistics #Sampling

Post: https://www.spsanderson.com/steveondata/posts/2024-05-03/

image/png
image/png

ianRobinson, to science
@ianRobinson@mastodon.social avatar

A five-star rating for Everything is Predictable: How Bayes' Remarkable Theorem Explains the World by Tom Chivers, from Brian Clegg at Popular Science Books.

https://popsciencebooks.blogspot.com/2024/05/everything-is-predictable-tom-chivers.html

#Science #Maths #Books #Statistics

stevensanderson, to programming
@stevensanderson@mstdn.social avatar
stevensanderson, to programming
@stevensanderson@mstdn.social avatar

I have published version 1.4.0 of my TidyDensity #R #Package

I’ll share the updates all next week #RStats #Programming #distribution #statistics #Coding

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