Causal Inference in Statistics: A Primer
Judea Pearl provides a clear entry point into the science of cause and effect, moving beyond the classic mantra that correlation does not imply causation. While traditional statistics often focuses on passive data observation, this text introduces the mathematical tools necessary to understand how one variable actually influences another. Pearl and his coauthors bridge the gap between complex the…
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