p(1 - p) @betabin0mial
🇧🇷 mestrando em ciência política pela @uspfflch | programação, probabilidade, e política comparada São Paulo, Brasil Joined November 2021-
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Parabéns Lula pela vitória. Venceu a Democracia, venceu o Brasil!
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Pesquisas pré-eleitorais não são e nem devem ser usadas como prognóstico para resultados eleitorais. Porque? (1) x.com/rnishimura/sta… (2) x.com/rnishimura/sta… Para que servem então? x.com/rnishimura/sta… #Eleiçoes2022
Pesquisas pré-eleitorais não são e nem devem ser usadas como prognóstico para resultados eleitorais. Porque? (1) x.com/rnishimura/sta… (2) x.com/rnishimura/sta… Para que servem então? x.com/rnishimura/sta… #Eleiçoes2022
p(1 - p) retweeted
Thank you Rodrigo.
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Turma trabalhando sério na prova de Economia Brasileira hoje de manhã na FEA.
"Hit run and go to bed" remains undefeated as a strategy for making something computationally tractable
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Mischka had tuna, radiates satisfaction while I cook some risotto
nice argument, unfortunately i have drawn myself as the clever brown pi and you as the befuddled blue pi
Decorative statistics and historical records statmodeling.stat.columbia.edu/2024/04/22/dec…
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New preprint available: In this study, my colleagues and I compared several bootstrap-based methods for constructing confidence intervals, including a credible interval using Bayesian bootstrap. arxiv.org/abs/2404.12967
What I imagine co-working is like.
Now here’s a tour de force for ya statmodeling.stat.columbia.edu/2024/04/21/now…
There are two big limits on the performance of LLMs from the basic laws of statistics: 1) marginally declining utility of sample size (1/sqrt(N)) 2) bias-variance trade-off There isn't (really) anything new under the sun. How do these laws matter for the future of LLMs? (1/)
Collateral
Metamorphoses [📹 Adrian Kozakiewicz / Insecthaus]
Mischka has never done monte carlo integration, knows peace
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