Explore tweets tagged as #bayesianmodeling
@pymc_labs
PyMC Labs
2 months
Frustrated by black box models? 😣 πŸŽ₯ Evan Wimpy shares how our Applied Bayesian Modeling Workshop helps you build transparent, real-world models with PyMC. Live. Practical. Built for business impact. 🎟️ Sign up here: https://t.co/XPZxa7w9zQ #BayesianModeling #PyMC #MCMC
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@lane_scher
Lane Scher
3 years
Tomorrow I'm presenting two research projects at #ESA2022β€”my own and @tongqiu_geog's! If you're interested in #globalchange, #BayesianModeling, #SDMs, #beetles, or #birds, please stop by!
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@Scirp_Papers
Scirp Papers
7 years
The Dynamic Relationship between Economic Growth and Inflation in Japan #BayesianModeling More @ https://t.co/FcxfakzO4b
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@pymc_devs
PyMC Developers https://bayes.club/@pymc
2 years
1/5 πŸŽ‰ Exciting news for Bayesian modeling enthusiasts! PyMC v5.3.0 has just been released with major changes, new features, bugfixes, and documentation improvements. #PyMC #DataScience #BayesianModeling #MachineLearning #PythonProgramming 🐍🧠
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@RossFinanceNews
NeutralEmpiricalFinanceNews
3 months
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@MHASC1
MHASC Β©
7 years
Peggy Seriès presenting the measure of basic #hallucinations in a motion detection task in healthy participants, based on fast implicit prior learning #BayesianModeling #computationalpsychiatry #computationalpsychiatry #ENSParis
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@LearnBayesStats
Pierre-Simon Laplace
3 years
Structural #engineers πŸ—οΈ can't test the capacity of a new bridge over & over - they only have 1 chance. How do they do manage? Using #BayesianModeling of course! Listen to this snippet of #LearnBayesStats #59 to learn more:
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@BeHappySisyphus
Happy Sisyphus
5 years
@LisaMarieBoothe @RAVerBruggen "HAS been infected" is still misleading. - Should probably be "Has tested POSITIVE." ** still plenty of 'false positives' w/ current testing. ** #Integrity #BayesianModeling
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@OmniversalisDAO
OmniversalisDAO
6 years
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@OmniversalisDAO
OmniversalisDAO
6 years
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@OmniversalisDAO
OmniversalisDAO
5 years
Modeling & simulation can be presenting some fundamental problems whose solution may benefit from AπŸ‘‰ https://t.co/Vtc4Xp5ehl #AI #ML #data #datascience #simulations #modeling #bayesianmodeling #medicines #B2B #entreprisedata #supplychain40 #pharmashift_AI #tradepharmanetwork πŸ¦‹
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@LearnBayesStats
Pierre-Simon Laplace
3 years
Are we testing too much in statistics? Should we instead focus more on estimation? @jntendeiro says "yes" & gives great arguments for it in episode 69! #BayesianModeling #BayesianStats
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@LearnBayesStats
Pierre-Simon Laplace
3 years
Structures near the end of their lifetime may become a risk. #BayesianModeling can be used to estimate this risk which allows us to use infrastructure & buildings in a more #sustainable & lasting way. Michael Faber on #LearnBayesStats episode 59:
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@pymc_labs
PyMC Labs
1 month
Your model isn’t enough if it can’t be trusted. Learn how to build robust, decision-ready Bayesian models in our live workshop. 🚨 Last chance! Seats close this week. πŸ‘‰ Save your spot https://t.co/1lXZZe26ew Featuring @AllenDowney (Think Bayes). #BayesianModeling #PyMC
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@LearnBayesStats
Pierre-Simon Laplace
3 years
Patient data is #GDPR protected, making it more difficult to get data for training your statistical models. Maria @skoularidou has the solution: simulate the data instead! She uses Generative Adversarial Networks to do so. Fid out how in ep. 62 #BayesianModeling #ScienceTwitter
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@Mammalogists
Am Soc Mammalogists
8 years
when form follows function: vomeronasal vesitgialization is coupled with genetic pseudogenization in bats https://t.co/7RhRZoJ39w #ASMreads #bats #genetics #morphology #phylogenetics #bayesianmodeling #AdvanceAccess @BiolJLinnSoc
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@EnvDataScience
Environmental Data Science
3 years
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@KordingLab
Kording Lab πŸ¦–
3 years
Inverted mask illusion is a common illusion to teach. There did not seem to be an open license one. So we took new photos for our https://t.co/bwoeWNJTgX book. Feel free to reuse.
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@weijima01
Wei Ji Ma
3 years
New book draft of "Bayesian modeling of perception and action", with @KordingLab @dangoldreich, now available at https://t.co/FTwJd1Abwz. We incorporated 100s of comments from the community - thanks so much everyone! To be published by @MITPress but e-book will remain free.
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