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generativist's profile
💥 (wannabe) Ƀreaker of (the Bad) Loops 💫
💥 (wannabe) Ƀreaker of (the Bad) Loops 💫
 💥 (wannabe) Ƀreaker of (the Bad) Loops  💫
@generativist

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 💥 (wannabe) Ƀreaker of (the Bad) Loops  💫

@generativist

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Palo Alto, CA
jbn.abreka.com
Joined May 2013

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    1.  💥 (wannabe) Ƀreaker of (the Bad) Loops  💫‏ @generativist Mar 25
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       💥 (wannabe) Ƀreaker of (the Bad) Loops  💫 Retweeted Sean J. Taylor

      I already retweeted Sean but I just want to be explicit in saying I wish the serious side of my feed was filled with more really well-targeted error correction like this right now instead of diffuse and loud wtfs. (I've been in the latter group.)https://twitter.com/seanjtaylor/status/1242843979873320960 …

       💥 (wannabe) Ƀreaker of (the Bad) Loops  💫 added,

      Sean J. Taylor @seanjtaylor
      Here's a nice paper about why this idea is extremely appealing and completely wrong: https://statistics.fas.harvard.edu/files/statistics-2/files/statistical_paradises_and_paradoxes.pdf … https://twitter.com/rabois/status/1242642669840429056 …
      1 reply 1 retweet 18 likes
    2. Corey Yanofsky truly and sincerely‏ @Corey_Yanofsky Mar 25
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      Replying to @generativist

      i was gonna but when i looked at the paper again i realized it was about predicting the 2016 election, whereas paypal mafia boy is talking about causal inference, so the paper isn't exactly on point the real issue is unobserved confounders

      1 reply 0 retweets 7 likes
    3. Berna Devezer‏ @zerdeve Mar 25
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      Replying to @Corey_Yanofsky @generativist

      I don’t know much about causal inference so curious in what sense Meng’s paper and overall prob theory behind random sampling doesn’t apply. Would you care to explain some more?

      1 reply 0 retweets 1 like
    4. Corey Yanofsky truly and sincerely‏ @Corey_Yanofsky Mar 25
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      Replying to @zerdeve @generativist

      i was thinking that predictive inference just requires that your observation process gets you representative sample of a relatively stable process whereas causal inference requires more because you're inferring the effects of interventions

      1 reply 0 retweets 2 likes
    5. Corey Yanofsky truly and sincerely‏ @Corey_Yanofsky Mar 25
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      Replying to @Corey_Yanofsky @zerdeve @generativist

      Corey Yanofsky truly and sincerely Retweeted Sean J. Taylor

      but it was pointed out to me that in survey sampling you need pretty much the same math to correct for the ways in which your sampling process is *not* representative as you do for causal inference!https://twitter.com/seanjtaylor/status/1242959737357889536 …

      Corey Yanofsky truly and sincerely added,

      Sean J. Taylor @seanjtaylor
      Worth noting there's a close relationship between bias from survey sampling and bias in comparing treatment to control. Very roughly, for population means with surveys you want to know P(sampled | covariates) and ATE estimates you want to know P(treatment | covariates). https://twitter.com/Corey_Yanofsky/status/1242956451645136897 …
      Show this thread
      2 replies 0 retweets 3 likes
       💥 (wannabe) Ƀreaker of (the Bad) Loops  💫‏ @generativist Mar 25
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      Replying to @Corey_Yanofsky @zerdeve

      [This discussion is making me trust my mentions again]

      4:50 PM - 25 Mar 2020
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      • Berna Devezer Corey Yanofsky truly and sincerely
      1 reply 0 retweets 2 likes
        1. New conversation
        2. Berna Devezer‏ @zerdeve Mar 25
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          Replying to @generativist @Corey_Yanofsky

          😅 i occasionally ask good questions, rarely have good answers myself.

          1 reply 0 retweets 3 likes
        3. Corey Yanofsky truly and sincerely‏ @Corey_Yanofsky Mar 25
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          Replying to @zerdeve @generativist

          i appreciate the opportunity to put the follow-up on the record it takes only one really good answer to make a lasting contribution, which reminds me that i really ought to read your most recent paper

          1 reply 0 retweets 2 likes
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