Explore tweets tagged as #approximateBayesiancomputation
@luka1790
Luca Tortorelli
6 years
New paper out! Measuring the #Luminosity #function of #galaxies with #ApproximateBayesiancomputation.
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@DaveHodgson00
Dave Hodgson
7 years
Very proud of @UoExeterCEC MSci students. In two days of #statisticalsafari we've survived #leastsquares, #maximumlikelihood, #bayesian regression and #approximatebayesiancomputation. And an invasion of #Cornish piskies!
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@Entropy_MDPI
Entropy MDPI
5 years
#mdpientropy "Phylogenetic Curved Optimal Regression for Adaptive Trait Evolution" https://t.co/Esn9TthSH9 adaptive #traitevolution #approximateBayesiancomputation #geometricBrownianmotion
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@Entropy_MDPI
Entropy MDPI
3 years
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@Algorithms_MDPI
Algorithms MDPI
5 years
[Article] Application of the Approximate Bayesian Computation Algorithm to Gamma-Ray Spectroscopy Full #openaccess @ https://t.co/2z70OmxVa2 #gammaspectroscopy #peaklocation #approximateBayesiancomputation #radioisotopeidentification #algorithms
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@RenataRetkute
Renata Retkute
6 years
Using #ApproximateBayesianComputation for a good cause: parametrising age-structured model of #Covid19 https://t.co/Y3c1aJVd67
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@BioDecoded
BioDecoded
7 years
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@CRC_MathStats
CRC Press Data Science, Stats, and Math Books
5 years
The "excellent and indispensable" Handbook of #ApproximateBayesianComputation edited by @ABC_Research now out in paperback at a great price! https://t.co/7sAyNIvcXJ #rstats #statistics #datascience
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@s_j_cartwright
Sam
11 years
We'll be running training workshop for ecologists in #ABC #approximatebayesiancomputation at the #BESSFE meeting this Dec @BritishEcolSoc
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@BioDecoded
BioDecoded
7 years
Approximate Bayesian computation with deep learning supports a third archaic introgression in Asia and Oceania | Nature Communications https://t.co/D4LQvVDNEs #DeepLearning #ApproximateBayesianComputation
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@theosysbio
Michael P.H. Stumpf
5 years
@kareem_carr @TimNovikoff Real advantage for #julialang, however, in #ApproximateBayesianComputation where our recent #julialang implementation beats our earlier Python by miles. Where complex models need to be simulated it is imho easier to get performance in Julia
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@future_of_AI
Future of AI
7 years
Towards Machine Learning Systems Design #approximateBayesianComputation
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@dengyazhuo
Yazhuo Deng
6 years
#ApproximateBayesianComputation computes the posterior P(θ|Data) with the intractable likelihood P(D|θ): generate param. θ from prior & use them to simulate Data; if Data are similar to the raw data, we select these θ to approx P(θ|D). https://t.co/0ewtsJPlix #readingOfTheDay
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@dengyazhuo
Yazhuo Deng
6 years
For efficient sampling in high dimensional distr, we use #MarkovChainMonteCarlo. Given a prob distr π on a set Ω, MCMC generates random samples of Ω w/ distr π by forming a Markov Chain with stationary distr π and simulating the chain. https://t.co/1QYZcHjXzU #readingOfTheDay
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@chemstateric
Eric Cai
10 years
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@JamesKerwin9
James Kerwin
3 years
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