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#37 Causality and potential outcomes with Irineo Cabreros
Manage episode 243085537 series 1537951
Inhalt bereitgestellt von Roman Cheplyaka. Alle Podcast-Inhalte, einschließlich Episoden, Grafiken und Podcast-Beschreibungen, werden direkt von Roman Cheplyaka oder seinem Podcast-Plattformpartner hochgeladen und bereitgestellt. Wenn Sie glauben, dass jemand Ihr urheberrechtlich geschütztes Werk ohne Ihre Erlaubnis nutzt, können Sie dem hier beschriebenen Verfahren folgen https://de.player.fm/legal.
In this episode, I talk with Irineo Cabreros about causality. We discuss why causality matters, what does and does not imply causality, and two different mathematical formalizations of causality: potential outcomes and directed acyclic graphs (DAGs). Causal models are usually considered external to and separate from statistical models, whereas Irineo’s new paper shows how causality can be viewed as a relationship between particularly chosen random variables (potential outcomes).
Links:
- Causal models on probability spaces (Irineo Cabreros, John D. Storey)
- The Book of Why: The New Science of Cause and Effect (Judea Pearl, Dana Mackenzie)
If you enjoyed this episode, please consider supporting the podcast on Patreon.
70 Episoden
Teilen
Manage episode 243085537 series 1537951
Inhalt bereitgestellt von Roman Cheplyaka. Alle Podcast-Inhalte, einschließlich Episoden, Grafiken und Podcast-Beschreibungen, werden direkt von Roman Cheplyaka oder seinem Podcast-Plattformpartner hochgeladen und bereitgestellt. Wenn Sie glauben, dass jemand Ihr urheberrechtlich geschütztes Werk ohne Ihre Erlaubnis nutzt, können Sie dem hier beschriebenen Verfahren folgen https://de.player.fm/legal.
In this episode, I talk with Irineo Cabreros about causality. We discuss why causality matters, what does and does not imply causality, and two different mathematical formalizations of causality: potential outcomes and directed acyclic graphs (DAGs). Causal models are usually considered external to and separate from statistical models, whereas Irineo’s new paper shows how causality can be viewed as a relationship between particularly chosen random variables (potential outcomes).
Links:
- Causal models on probability spaces (Irineo Cabreros, John D. Storey)
- The Book of Why: The New Science of Cause and Effect (Judea Pearl, Dana Mackenzie)
If you enjoyed this episode, please consider supporting the podcast on Patreon.
70 Episoden
Alle Folgen
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Ähnelt the bioinformatics chat
How many organs could you donate and remain alive? How many planet Earths could fit inside the Sun? How high is a giraffe's blood pressure? Why is the sea blue? To find out, Ask The Naked Scientists!
…
continue reading
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…
continue reading
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…
continue reading
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…
continue reading
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…
continue reading
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…
continue reading
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…
continue reading
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…
continue reading
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continue reading
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continue reading
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