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Prikvačeni tweet
Confused about why we divide by n-1 for the sample variance? The variance tells us how much people tend to be different from each other. And, for each person in our sample, there are only n-1 people we can compare them to. More in my blog post: https://goo.gl/naA61U pic.twitter.com/ngeYDK7nkM
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Aaron Fisher proslijedio/la je Tweet
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!!!
https://usc.wd5.myworkdayjobs.com/ExternalUSCCareers/job/Los-Angeles-CA---University-Park-Campus/Postdoctoral-Fellow_REQ20082830 …Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
I struggled to understand influence functions for years. When the intuition finally clicked, writing this paper with
@edwardhkennedy was a delight. Our paper builds intuition with a series of visualizations, equations, and silly analogies to magicians. (2/2)Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Our educational paper on visual intuition for influence functions is out in The American Statistician! https://doi.org/10.1080/00031305.2020.1717620 … arXiv PDF: https://arxiv.org/pdf/1810.03260.pdf … IFs are central to many stat methods and can bridge machine learning with inference, but they're hard to learn (1/2)pic.twitter.com/2bPuOS2vLo
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One last, silly bookkeeping note. The paper title changed twice during the revision process, but the content is largely unchanged. So, earlier arxiv versions have different titles (https://arxiv.org/abs/1801.01489v5 …). (6/6)
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We've also added a high level summary of the paper in Section 2, with visual illustrations. (5/6)
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Our proposed measure of conditional variable importance can be estimated using matching, weighting, or imputation. (see Sections 3 and 8.2 of http://www.jmlr.org/papers/volume20/18-760/18-760.pdf …) (4/6)
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We define conditional importance by permuting X1 within subgroups with identical values of X2. This can be thought of as adding noise to X1 that cannot be detected by looking at the covariates alone, as the joint distribution of the covariates (X1 and X2) is unchanged. (3/6)
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In the revision process, we added a section on *conditional* variable importance. That is, how much does a prediction model rely on the information in a covariate (X1) that cannot alternatively be gleaned from other covariates (X2)? (2/6)
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Our variable importance paper is out in JMLR!! http://www.jmlr.org/papers/volume20/18-760/18-760.pdf … Often, many prediction models achieve high accuracy. A variable could be important to some models, but not others. We study how important a variable could be to *any* model (in a pre-specified class). (1/6)
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Aaron Fisher proslijedio/la je Tweet
Aesthetics are important, but the main point of a figure is NOT to make the paper look pretty. When adding a figure to a paper, think hard about how the visual cues help the reader understand a result. Published network hairballs, for example, rarely covey anything useful to me.
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Aaron Fisher proslijedio/la je Tweet
Hey academics on Twitter: Have you ever been scooped? Do you worry about getting scooped? My job market paper estimates the consequences of getting scooped in science using cool data from structural biology. Let’s do a thread!
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Aaron Fisher proslijedio/la je Tweet
Apple co-founder says Apple Card algorithm gave wife lower credit limit https://www.reuters.com/article/us-goldman-sachs-apple-idUSKBN1XL038?utm_campaign=trueAnthem%3A+Trending+Content&utm_medium=trueAnthem&utm_source=twitter …pic.twitter.com/3QvYpxfe1Y
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We revised our educational paper on visual intuition for influence functions, adding 2 figures that show a (low-dimensional, discrete) special case where pathways through the space of distributions can be seen more explicitly. https://arxiv.org/pdf/1810.03260.pdf … with
@edwardhkennedypic.twitter.com/47FtXJTgbR
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Aaron Fisher proslijedio/la je Tweet
Following the deconfounder wars? Here's my comment on "The Blessings of Multiple Causes." Summarizes my back-and-forth with
@yixinwang_ and Dave Blei about the deconfounder over the last couple of years. https://arxiv.org/abs/1910.08042 pic.twitter.com/gJTlEQxhoi
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Aaron Fisher proslijedio/la je Tweet
I have a comment that should appear on arXiv in a day or two. The Ogburn et al comment and my comment will both appear alongside "Blessings" in JASA.
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Aaron Fisher proslijedio/la je Tweet
Just read a really interesting paper that finally helped me understand influence functions -- putting this out here in case there's one other person also struggling with it
#onhere: https://arxiv.org/pdf/1810.03260.pdf …pic.twitter.com/ZW4KvbxMrF
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Aaron Fisher proslijedio/la je Tweet
I'm hiring! Looking for a full-time (most likely) master's level research associate to help with stat methods, data work, lit reviews, etc. Great fit for someone looking to work for a few years in between a master's and a PhD. Share widely! @JohnsHopkinsDM
@jhubiostatpic.twitter.com/uJEJSAdXOw
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Aaron Fisher proslijedio/la je Tweet
Thrilled to be awarded an R01 grant from
@NIH on Bayesian methods for cortical surface#fMRI data with Co-I's@fMRIstats and@mbfog. Thank you also to collaborators@maqroll62,@furranko,@bcaffo & Ying Guo for all the support and help. Couldn't have done it without you!Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi
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