#statstab #529 How Do I Know What My Theory Predicts?
Thoughts: I'd like to see more researchers adopt Dienes' framework and way of thinking about research.
#bayesian #bayesfactor #evidence #epistemology #research #tutorial
#statstab #529 How Do I Know What My Theory Predicts?
Thoughts: I'd like to see more researchers adopt Dienes' framework and way of thinking about research.
#bayesian #bayesfactor #evidence #epistemology #research #tutorial
Marginal likelihood is exhaustive leave-p-out cross-validation
์ด ๊ธ์ ๋ก๊ทธ ์ฃผ๋ณ์ฐ๋(log marginal likelihood, LML)๊ฐ ๋ชจ๋ ๊ฐ๋ฅํ ํ์ต-๊ฒ์ฆ ๋ถํ ์ ๋ํ ํ๊ท ์ ์ทจํ ์์ ํ leave-p-out ๊ต์ฐจ๊ฒ์ฆ๊ณผ ๋์ผํ๋ค๋ ์ ์ ์ํ์ ์ผ๋ก ์ฆ๋ช ํ๋ค. LML์ ๋ฒ ์ด์ง์ ๋ชจ๋ธ ์ ํ์์ ์ค์ํ ์ญํ ์ ํ์ง๋ง, ์ผ๋ฐํ ์ฑ๋ฅ์ ์๋ฒฝํ ๋๋ณํ์ง๋ ๋ชปํ๋ฉฐ, ํนํ ์ ์ ๋ฐ์ดํฐ์ ์กฐ๊ฑด๋ถ์ธ ๊ฒฝ์ฐ๊ฐ ๋ง์ ํ๊ณ๊ฐ ์๋ค. ๋ค๋ง, ๊ฐ์ฐ์์ ํ๋ก์ธ์ค ๊ฐ์ ํน์ ๋ชจ๋ธ์์๋ LML์ ํจ์จ์ ์ผ๋ก ๊ณ์ฐํ ์ ์์ด ์ค์ฉ์ ์ด๋ค. ์ด ์ฐ๊ตฌ๋ ๋ฒ ์ด์ง์ ๋ชจ๋ธ ์ ํ๊ณผ ์ ํต์ ๊ต์ฐจ๊ฒ์ฆ ๊ฐ์ ์ฐ๊ฒฐ๊ณ ๋ฆฌ๋ฅผ ๋ช ํํ ํ๋ค.
https://belko.xyz/posts/lml-and-cross-validation/
#bayesian #marginallikelihood #crossvalidation #modelselection #gaussianprocesses
Build MCMC from Scratch in R: The 50-Line Algorithm Behind Brms and Stan
์ด ๊ธ์ R ์ธ์ด๋ก 50์ค ์ด๋ด์ MCMC(Markov Chain Monte Carlo) ์๊ณ ๋ฆฌ์ฆ์ ์ง์ ๊ตฌํํ๋ ๋ฐฉ๋ฒ์ ์๊ฐํฉ๋๋ค. brms์ Stan ๊ฐ์ ๋ฒ ์ด์ง์ ๋ชจ๋ธ๋ง ๋๊ตฌ๊ฐ ๋ด๋ถ์ ์ผ๋ก ์ฌ์ฉํ๋ MCMC ์๊ณ ๋ฆฌ์ฆ์ ์๋ ์๋ฆฌ๋ฅผ ์ดํดํ๋ ๋ฐ ๋์์ ์ฃผ๋ฉฐ, ํด๋ฆญ๋ฅ ์ถ์ ๋ฌธ์ ๋ฅผ ์์ ๋ก ์ฌ์ฉํด ์ค์ ์ํ๋ง ๊ฒฐ๊ณผ๊ฐ ์ด๋ก ์ ๋ฒ ํ ๋ถํฌ์ ์ผ์นํจ์ ๋ณด์ฌ์ค๋๋ค. ์ด๋ฅผ ํตํด AI ๊ฐ๋ฐ์๋ค์ด ๋ฒ ์ด์ง์ ์ถ๋ก ๊ณผ MCMC์ ๊ธฐ๋ณธ ๊ฐ๋ ์ ์ค์ตํ๋ฉฐ ๊น์ด ์๊ฒ ์ดํดํ ์ ์์ต๋๋ค.
The latest #PyDataVenice event took place last week ๐๐๐
๐ Two speakers tackling complex systems: climate networks with a #Bayesian approach, and trading with custom #StrategicRule algorithms.
๐บ Small audience, great #networking over a beer.
โฅ๏ธ #ThankYou all for making this event possible !!!
๐ฆ https://www.youtube.com/watch?v=bFUAZFkgbBE
๐พ See you all on Thursday, 18 June 2026. #SaveTheDate ๐ช
#PyDataVE #26 #Meetup PyData - #ClimateNetworks & #Trading
Blackboard System
๋ธ๋๋ณด๋ ์์คํ ์ ๋ค์ํ ์ ๋ฌธ ์ง์ ์์ค๋ค์ด ๊ณตํต์ ์ง์ ์ ์ฅ์์ธ ๋ธ๋๋ณด๋๋ฅผ ํตํด ํ๋ ฅํ์ฌ ๋ฌธ์ ๋ฅผ ํด๊ฒฐํ๋ AI ์ํคํ ์ฒ ๋ชจ๋ธ์ ๋๋ค. ๊ฐ ์ง์ ์์ค๋ ์์ ์ ์ ๋ฌธ์ฑ์ ๋ฐํ์ผ๋ก ๋ธ๋๋ณด๋์ ๋ถ๋ถํด๊ฒฐ์ฑ ์ ์ถ๊ฐํ๋ฉฐ, ์ ์ด ์ ธ์ด ์ด๋ค์ ํ์ ์ ์กฐ์จํฉ๋๋ค. BB1๊ณผ GBB ๊ฐ์ ์ด๊ธฐ ์์คํ ๋ค์ ๊ธฐํ์ฃผ์์ ๊ณํ๊ณผ ํจ์จ์ฑ ํฅ์์ ์ค์ ์ ๋์์ผ๋ฉฐ, ํ์ฌ๋ ์์ฑ ๊ด์ , ๊ฒ์ AI, OCR ๋ฑ ๋ค์ํ ๋ถ์ผ์ ์ ์ฉ๋๊ณ ์์ต๋๋ค. ์ต๊ทผ์๋ ๋ฒ ์ด์ง์ ๋คํธ์ํฌ์ ๊ฒฐํฉํ ๋ธ๋๋ณด๋ ์์คํ ๋ ์ฐ๊ตฌ๋๊ณ ์์ต๋๋ค.
Bayesian Yacht Sinking: Why Investigators Say It Wasnโt Just a Storm
#Bayesian #BayesianYachtSinking #MikeLynch #MaritimeAccident #Sicily #Superyacht #MarineInvestigation #StormAtSea #LuxuryYachtSafety #MaritimeCasualty
More info - https://newspulsehub.today/bayesian-yacht-sinking-investigation-crew-error/
The Open Inference Lab just opened!๐
A place for exploring statistical models, with a focus on making complex methods more transparent and easier to understand.
First post: How to handle multiple binary outcomes in a Bayesian way http://bit.ly/4ujWL8a
...whose birthday, incidentally, is today.
Happy birthday, David MacKay! ๐ ๐ ๐
MacKay was also one of the first to make clear the connection between many machine-learning algorithms, especially neural networks, and Bayesian probability theory: <https://www.inference.org.uk/mackay/PhD.html>.
His book on Information Theory, Inference, and Learning Algorithms is brilliant and full of humour: <https://www.inference.org.uk/itila/book.html>, just like his lectures: <https://videolectures.net/events/course_information_theory_pattern_recognition>.
And just as brilliant is his book "Sustainable Energy โ without the hot air" which analyses in a rational way our energy and climate problem: <https://www.withouthotair.com>. See also his TED talk <https://www.ted.com/talks/david_mackay_a_reality_check_on_renewables>.
He died too soon ๐ข
http://itila.blogspot.com/
https://www.eng.cam.ac.uk/news/professor-sir-david-mackay-1967-2016