Explore tweets tagged as #bayesianmodeling
@Scirp_Papers
Scirp Papers
8 years
The Dynamic Relationship between Economic Growth and Inflation in Japan #BayesianModeling More @ https://t.co/FcxfakzO4b
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@lane_scher
Lane Scher
3 years
Tomorrow I'm presenting two research projects at #ESA2022โ€”my own and @tongqiu_geog's! If you're interested in #globalchange, #BayesianModeling, #SDMs, #beetles, or #birds, please stop by!
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@adkulakova
Anastasiia Kulakova
2 months
Apparently, when you google RBF, the top result is Resting Bitch Face and not a Radial Basis Function ๐Ÿ’€ #DataScience #BayesianModeling #MachineLearning #PyMC #Halloween
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@OmniversalisDAO
OmniversalisDAO
6 years
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@MHASC1
MHASC ยฉ
7 years
Peggy Seriรจs 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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@RossFinanceNews
NeutralEmpiricalFinanceNews
6 months
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@TradePharmaDAO
TradePharmaDAO
5 years
Modeling & simulation can present fundamental & difficult problems whose solution may benefit from the concepts & techniques of AI ๐Ÿ‘‰ https://t.co/J3wq1Xmosr #AI #ML #data #modelingandsimulation #bayesianmodeling #probabilisticprogramming #B2B #entreprisedata #bayeslearnsystems
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@OmniversalisDAO
OmniversalisDAO
6 years
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@OmniversalisDAO
OmniversalisDAO
6 years
Modeling & simulation can be presenting some fundamental problems whose solution may benefit from A๐Ÿ‘‰ https://t.co/Vtc4Xp5ehl #AI #ML #data #datascience #simulations #modeling #bayesianmodeling #medicines #B2B #entreprisedata #supplychain40 #pharmashift_AI #tradepharmanetwork ๐Ÿฆ‹
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@pymc_devs
PyMC Developers https://bayes.club/@pymc
3 years
1/5 ๐ŸŽ‰ 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 ๐Ÿ๐Ÿง 
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@DynamicsMdpi
Dynamics MDPI
2 months
๐Ÿง  Featured in Dynamics ๐Ÿ” Enhancing Bayesian Approaches in the Cognitive and Neural Sciences via Complex Dynamical Systems Theory ๐Ÿ”— Read more: https://t.co/TXmmWYWKQY #Dynamics #BayesianModeling #CognitiveScience #ComplexSystems #NonlinearDynamics
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@LearnBayesStats
Pierre-Simon Laplace
4 years
Structural #engineers ๐Ÿ—๏ธ 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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@pymc_labs
PyMC Labs
16 days
In #CausalPy 0.6.0, one of the biggest upgrades isnโ€™t a model, itโ€™s clearer docs, tutorials, and examples + a unique Bayesian lens on structural causal discovery using variable-selection priors in joint models. ๐ŸงฉTry it on Github: https://t.co/VW1PdnvFLp #BayesianModeling
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@pymc_labs
PyMC Labs
21 days
#CausalPy 0.6.0 drops an enhanced reporting layer: cleaner tables, consistent summaries, and faster access to โ€œso what?โ€ insights. A big step toward business-ready Bayesian outputs. ๐ŸงฉAvailable on Github: https://t.co/WeNdWKtlUw #CausalPy #BayesianModeling
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@KordingLab
Kording Lab ๐Ÿฆ–
4 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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@LearnBayesStats
Pierre-Simon Laplace
4 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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@IntuitIN
Intuit India
5 years
.@lavanyats, our keynote speaker for the day, speaking on how #BayesianModeling and #DeepLearning influence each other. #WiDSBlr2020 #Datascience
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@LearnBayesStats
Pierre-Simon Laplace
4 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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@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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