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Judea Pearl's work on causality is some of the most important statistics work that is happening these days. We've known how to do statistics to find correlation
by pavpanchekha 11y ago
Judea Pearl's work on causality is some of the most important statistics work that is happening these days. We've known how to do statistics to find correlations and make inferences, but he put causality on a firm mathematical basis, and discovered fascinating statistics as he did. This book should be a blast.
- fenomas 11y agoCan you recommend any casual (article-sized) reading about this? Sounds really interesting! Edit: xtacy's post answers me entirely.
- stalaie 11y agoCheck out his turing award lecture: http://amturing.acm.org/vp/pearl_2658896.cfm http://amturing.acm.org/vp/pearl_2658896.cfm
- mazr 11y agoFor a quick and general purpose introduction on Causality, the Epilogue of a former book of Pearl is great : "The Art and Science of Cause and Effect" http://bayes.cs.ucla.edu/BOOK-2K/causality2-epilogue.pdf http://bayes.cs.ucla.edu/BOOK-2K/causality2-epilogue.pdf
- fenomas 11y agoThank you! This rather blew my mind and I hope others take time to try it out.
- nl 11y agoHis WSJ article about the murder of his son (WSJ journalist Daniel Pearl) was well-considered, too: http://online.wsj.com/article/SB123362422088941893.html http://online.wsj.com/article/SB123362422088941893.html
- bbcbasic 11y agoI am not sure how that can be called well considered. He really shouldn't throw stones in glass houses. It is clearly a pro-Israel piece, he even alludes to the bulldozing regime as being acceptable without directly saying it. Shameful to use his sons death for this propaganda.
- arcanus 11y ago> Shameful to use his sons death for this propaganda. I don't have strong feelings towards his views, but I don't see how it can be called propaganda. He presents a reasoned argument, in contrast to the violence that was visited upon his child. I consider that admirable.
- pmoriarty 11y agoEver since David Hume[1], a couple of hundred years ago (and arguably long before him), causality has been recognized to stand on very shaky philosophical grounds. It will be interesting to learn what statisticians can make of it. Even if there is in fact a firm mathematical foundation on which causality can rest, that in itself is problematic because mathematicians themselves have mostly given up trying to find foundations for mathematics. [1] - https://en.wikipedia.org/wiki/David_Hume https://en.wikipedia.org/wiki/David_Hume
- stdbrouw 11y agoThey're different questions to some extent. In the statistical literature on causality, the counterfactual definition is almost universally accepted: if you do X then Y happens, but if you wouldn't have done X, Y wouldn't have happened. So the main challenge that statisticians are tackling is not the ontological question of whether causality can really be said to exist in the world, but rather the practical question of how to make measurements performed at different times, in different places, on different people, using different machinery, as comparable as possible.