Edward Kennedy

@edwardhkennedy

asst prof of statistics & data science . interested in causal inference, machine learning, nonparametrics, criminal justice, public policy, etc.

Pittsburgh, PA
Vrijeme pridruživanja: lipanj 2018.

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  1. proslijedio/la je Tweet
    31. sij
    Odgovor korisnicima

    "Gosset reminds us to work on the hard problems you care about, do the best work you can do, and share your insights as widely as possible. And there's no reason not to be open and kind along the way. Cheers to that."

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  2. proslijedio/la je Tweet
    prije 18 sati

    Awesome and important project. Can't think of a better person to be on the team leading this than Google’s ML-fairness-gym lets researchers study the long-term effects of AI’s decisions via

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  3. proslijedio/la je Tweet
    6. velj

    Fantastic talk by the BEYOND impressive Emma Pierson on using data science to reduce inequality and improve healthcare

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  4. 6. velj

    Cauliflower fractals

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  5. proslijedio/la je Tweet
    4. velj

    One of my favorite tables from Wasserman’s All of Statistics: translating between stats and machine learning.

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  6. proslijedio/la je Tweet
    29. sij

    Posted without comment

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  7. 31. sij

    Yikes :) Luckily we don’t have to choose between tackling only bias or only variance - we can/should worry about both!

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  8. proslijedio/la je Tweet
    31. sij
    Odgovor korisniku/ci

    "William Sealy Gosset, Head Experimental Brewer at Guinness, applied best practices from science to optimize the process of making great beer. In his work he developed novel statistical methods & shared these openly… he was generally remembered as a kind, humble person."

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  9. proslijedio/la je Tweet
    28. sij

    On 3rd of March, and I are giving a causal inference masterclass For details and to apply to attend, visit this link

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  10. proslijedio/la je Tweet
    29. sij

    Omg best conference swag ever! Who is responsible? Gosset is my favorite statistician

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  11. 27. sij

    was recently trying to learn about the history of right heart catheterization, esp observational vs experimental evidence found a paper that was accidentally published w/ author edits included: i hope AQ ended up approving the edit of that one sentence

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  12. 27. sij
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  13. proslijedio/la je Tweet
    26. sij

    PLEASE RETWEET: Jacob Bien and I are hiring a post-doc!!!! It's the perfect set-up: ✅live in sunny Los Angeles ✅work on interesting statistical methodology problems ✅collaborate with Jacob and me!! Submit your application via the link by MARCH 15!!!

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  14. 24. sij

    (I also think econometrics could be taught both before and after causal - ideally one would just keep iterating...)

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  15. 24. sij

    Why not both? I think causal inference should be taught both before and after econometrics :)

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  16. proslijedio/la je Tweet
    24. sij
    Odgovor korisnicima i sljedećem broju korisnika:

    Less fun fact: the bootstrap is inconsistent for the sampling distribution of the max-of-means functional though Kitagawa et al show that the bootstrap does approximate the Bayesian posterior in this case

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  17. proslijedio/la je Tweet
    21. sij

    I have post-doc openings in my lab. Do you want to use empirical methods, design experiments, and collaborate with both large and small tech firms for research and social impact? Have interest in ed tech, fin tech, charitable giving, and social sector effectiveness? Apply! 1/3

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  18. proslijedio/la je Tweet
    22. sij

    Correction - FOUR Student Paper Competition prizes! Welcome to the list, Matteo Bonvini (Stats in Epi)!!!

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  19. proslijedio/la je Tweet
    22. sij

    Our educational paper on visual intuition for influence functions is out in The American Statistician! arXiv PDF: IFs are central to many stat methods and can bridge machine learning with inference, but they're hard to learn (1/2)

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  20. proslijedio/la je Tweet
    18. sij

    Continually impressed by the students in our department... brilliant minds and hearts of gold!

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