#statistical

Jenetics GAjeneticsga
2025-06-05

A more flexible implementation of the class. The of the mutation values are now controllable, in upcoming version 8.3.
github.com/jenetics/jenetics/b

GaussianMutator statistical distribution.
2025-05-21

alojapan.com/1279434/eex-celeb EEX Celebrates Fifth Anniversary Of Japan Power Futures Market #Australasia #commodities #derivatives #europe #exchange #general #Japan #JapanNews #news #Statistical The European Energy Exchange (EEX) marks the fifth anniversary of the launch of its power trading platform on the Japanese power derivatives market. Since its inception in May 2020, the total volume traded on this market totalled 160 TWh, making it the fastest growing EEX power d…

Annual total traded volume japan
Don Curren 🇨🇦🇺🇦dbcurren.bsky.social@bsky.brid.gy
2025-04-25

#Statistical thinking will one day be as necessary for efficient #citizenship as the ability to read and write.” - #HGWells

Daniel Hoffmann 🥬Daniel_Hoffmann@mathstodon.xyz
2025-04-19

Detective work with #genomes: some invasive species have been introduced deliberately, others inadvertently. A new #statistical framework helps to track what probably happened. Demonstration object is the Pacific oyster. #bayes pnas.org/doi/abs/10.1073/pnas.

Statistics GlobeStatisticsGlobe
2025-04-04

ggplot2 is the gold standard when it comes to data visualization.

The image in this post showcases examples of ggplot2 visualizations, demonstrating its versatility to create a wide range of plots with nearly limitless customization options.

Check out my online course, "Data Visualization in R Using ggplot2 & Friends," for a deeper dive into creating stunning plots with ggplot2.

More info: statisticsglobe.com/online-cou

2025-03-29

#Zoomposium with Prof. Dr. #Arieh #Ben-#Naim: “Demystifying #Entropy

Information about the person and his scientific work

In another installment of our “Zoomposium series” on the topic of #physics and its #limits, my colleague Axel Stöcker from the “Blog der großen Fragen” and I had the opportunity to interview the renowned Israeli physical chemist Prof. Dr. Arieh Ben-Naim on the exciting topic of “Demystifying Entropy”.

Arieh, who was born on July 11, 1934, held a chair in #Physical #Chemistry at the Hebrew University of Jerusalem for over 40 years, with his main field of research being the theory of the #structure of #water, aqueous solutions and hydrophobic-hydrophilic interactions. He was mainly concerned with theoretical and experimental aspects of the general theory of #liquids and #solutions. In recent years, he has advocated the use of #information theory to better understand and advance #statistical #mechanics and #thermodynamics.

In this context, he has also worked intensively on the question of the nature and underlying principle of the phenomenon of #entropy, which he has published in numerous often cited but also controversially discussed popular science books.

The basic tenor of all his publications and lectures is that we need a new basic understanding of the phenomenon of entropy. In Arieh's view, entropy, which originally stems from the laws of #thermodynamics and in particular the 2nd law, has been misused and incorrectly transferred as a #concept to other areas of #physics, #biology and everyday #life.

In this respect, it was finally time (bon mot) to ask the author himself about his ground-breaking theses, which cast a different light on the #phenomenon of entropy or perhaps better said, bring entropy back to its place of origin.

The interview we conducted with him is in English.

Find out more at: philosophies.de/index.php/2024

or: youtu.be/Km88EreH4A8

photo of Arieh Ben-Naim
2025-02-09

'Approximate Information Tests on Statistical Submanifolds', by Michael W. Trosset, Carey E. Priebe.

jmlr.org/papers/v25/19-272.htm

#likelihood #submodel #statistical

2025-02-09

#HumpbackWhale #songs have patterns that resemble #human #language – The #sounds that make up humpback #WhaleSongs follow some of the same #statistical rules seen in human #languages, which may be because of how they are learned newscientist.com/article/24671

Gilles DePemig :OpenAccess:DePemig@social.coop
2025-01-27

At our #statistical consult, I helped a #master student with her meta-analysis in #R . She "admitted" she wrote all code with the help of #chatGPT . (of course, it's the only one, right?)

One hour in, I typed ?forest (the basic R command prompting documentation about the specific function she was using, forest), because I needed to know something about an function argument.

She was shocked to see the help file being displayed saying "Wow, where did you find all this information?"

#RTFM

Statistics GlobeStatisticsGlobe
2025-01-24

When performing multiple imputation of missing data, it is essential to evaluate how the imputed values compare to the observed data.

The attached image, created with the bwplot() function, showcases how the distributions of observed and imputed values vary across different imputations for multiple variables.

I’ll be hosting an 8-week online workshop on Missing Data Imputation in R: statisticsglobe.com/online-wor

Statistics GlobeStatisticsGlobe
2025-01-17

I recently stumbled upon the gt package for R programming, a real game-changer for anyone looking to elevate their table game!

Developed by Richard Iannone and colleagues, it simplifies table creation, supporting a seamless workflow from data frames or tibbles to professional tables.

More info: gt.rstudio.com/

More information: eepurl.com/gH6myT

Python Job Supportpythonjobsupport
2025-01-05

what is statistical data analysis | step by step guide

what is statistical data analysis | step by step guide analysis ... source

quadexcel.com/wp/what-is-stati

Statistics GlobeStatisticsGlobe
2024-12-24

Dimensionality reduction simplifies high-dimensional data while retaining its essential features. It’s a powerful tool for improving data analysis, visualization, and machine learning performance.

Image credit to Wikipedia: en.wikipedia.org/wiki/Dimensio

I've developed an in-depth course on PCA theory and its application in R programming. Check out this link for more details: statisticsglobe.com/online-cou

Client Info

Server: https://mastodon.social
Version: 2025.04
Repository: https://github.com/cyevgeniy/lmst