#frequentist — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #frequentist, aggregated by home.social.
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At my work we use kernel density estimation to estimate a density distribution from a set of measured points (we measure the size and refractive index of microparticles in liquid samples). I found a paper that relates kernel density estimation to Gaussian process based approaches. I haven't finished reading the paper yet, but it seems that kernel density estimation is a frequentist approach while Gaussian process techniques take a Bayesian perspective. https://arxiv.org/abs/2506.17366
#frequentist
#bayesian
#kernelDensityEstimation3/3
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OK, I'm going to have to recalibrate my brain for a few weeks.
"Bayesian yacht sinking" just activates way too many nodes in my brain.
How would a Bayesian sink a yacht?
What is the most #Bayesian method of sinking a yacht? How does it differ from #Frequentist methods?
What are the yacht-sinking priors?
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@krysdolega A #Bayesian or a #Pragmaticist will agree to the position of #Neurath as stated by #Zolo. I often see this such criticism needed when sociology and #psychology turn to a pseudo-objectivism of the #Fisherian, #frequentist, kind.
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`2016 Naaman, "Almost sure hypothesis testing and a resolution of the Jeffreys-Lindley paradox"` #stats #statistics #bayesian #frequentist #hypothesis #testing #experiments #science #quantitative #methods
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This came out less bad than I thought #rapbattles #stats #bayesian vs #frequentist #gpt3 #farmerandthecowman #endingbeefs
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Ultimately this is exploratory to see if the data is worth building a principled Bayesian model for... so I told him to just run the same formula from the lm model through #brms to get a quick and dirty bayes-interpretable output. #statistics #bayes #frequentist #anova
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Everytime I read a stats paper with the words "We derive asymptotic results for (...)", I think "In the long term we're all dead."
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Are p-values convoluted and arcane? Are confidence intervals hopelessly confusing? No! These ideas can be challenging to teach and learn, but they represent an invaluable way of thinking about scientific results. Once they're properly understood, they are more intuitive than they get credit for. Here is an attempt at a very brief explanation of why I love the logic of null hypothesis significance testing. [1/7]
#Statistics #Frequentist #NHST #Inference