BITESIZE | How Probability Becomes Causality?
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BITESIZE | How Probability Becomes Causality?
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About this listen
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Today’s clip is from episode 141 of the podcast, with Sam Witty.
Alex and Sam discuss the ChiRho project, delving into the intricacies of causal inference, particularly focusing on Do-Calculus, regression discontinuity designs, and Bayesian structural causal inference.
They explain ChiRho's design philosophy, emphasizing its modular and extensible nature, and highlights the importance of efficient estimation in causal inference, making complex statistical methods accessible to users without extensive expertise.
Get the full discussion here.
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Transcript
This is an automatic transcript and may therefore contain errors. Please get in touch if you're willing to correct them.