Erik J. Ringen

201 posts

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Erik J. Ringen

Erik J. Ringen

@err_ring

Data Scientist (Applied Statistician) at the University of Zurich PhD in Bio-Anth. Behavioral ecology, cultural evolution, statistics & causal inference.

Zurich, Switzerland Katılım Ocak 2018
306 Takip Edilen300 Takipçiler
Erik J. Ringen
Erik J. Ringen@err_ring·
New blog: If you use observation-level random effects, your predictive checks are probably wrong. Here's how to do it the right way in both #brms and #PyMC tl;dr: you need to sample new levels of the OLRE to avoid a false goodness-of-fit erikringen.github.io/posts/OLRE/
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Chelsea Parlett
Chelsea Parlett@ChelseaParlett·
It turns out you can’t teach a decades worth of stats experience/learning in a single semester
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Erik J. Ringen
Erik J. Ringen@err_ring·
It feels like whenever OLS comes up on this site, one camp is talking about model checking (residuals, predictive plots) and the other about standard errors. Both talk past each other. Onlooks become more confused.
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Erik J. Ringen
Erik J. Ringen@err_ring·
@ed_kroc poisson with observation-level random effects that follow t-dist rather than normal
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Ed Kroc
Ed Kroc@ed_kroc·
Does anyone know of some kind of analogue of the t-dist. for count data? That is, something that could produce big outliers not uncommonly, like a Cauchy dist. but for (positive) integers?
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Cameron
Cameron@just_cameron·
Drop your wifi name in here, mine's SausageKing
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Erik J. Ringen
Erik J. Ringen@err_ring·
Has anyone had their @github account flagged before (all activity suddenly hidden from public)? I've had an open ticket with them for reinstatement for over a month with no response...
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Erik J. Ringen
Erik J. Ringen@err_ring·
@camjpatrick yes, priors are also research misconduct. informative prior = simulation of work that has no been conducted. generic regularizing prior = hiding work that has been conducted.
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Luisa Maria Rivera
Luisa Maria Rivera@guichitarivera·
Mi gente! I'm thrilled to share the first preprint from the Period Biology Study I've started at Dartmouth! Led by amazing PhD student Irma Vlasac, we lay the groundwork for validating self-collected menstrual samples for DNA methylation research. medrxiv.org/content/10.110…
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sheina lew-levy
sheina lew-levy@sheinalew·
I am advertising for a postdoc! You get to do cross-cultural research from the comfort of an office, write a lot of papers, and hang out with me! durham.taleo.net/careersection/…
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Erik J. Ringen
Erik J. Ringen@err_ring·
@SolomonKurz It is okay. A researcher's ability to intervene is contextual. Ethics, resources, and technology determine what one can intervene on in a study. The limitations of researchers has nothing to do with the existence of causal effects.
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Solomon Kurz
Solomon Kurz@SolomonKurz·
What's the word, #causaltwitter? It's ____ to use the potential outcomes framework to make causal inferences with respect to background variables like sex and ethnicity. Give me all your hot takes in the comments.
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Erik J. Ringen
Erik J. Ringen@err_ring·
@PhDemetri I only teach stats for MA/PhD+ researchers, maybe some replies misunderstood your audience (undergrads?)
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Demetri (is over at the other place too)
Demetri (is over at the other place too)@PhDemetri·
I think a lot of you have very high expectations for intro to stats courses. This is the first time students hear of statistics and you're talking about priors and Regression? Really?
Demetri (is over at the other place too)@PhDemetri

Assume I am an instructor for an intro to stats. Syllabus includes: Intro to probability, summary statistics, culminating in the t test and other simple tests of hypotheses. Aside from the mechanics, what should students leave knowing about statistics?

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Erik J. Ringen
Erik J. Ringen@err_ring·
More evidence of the prior recession. In the old days a high school graduate could afford a fat-tailed, Cauchy(0, 5) prior on a fixed effect. Now they struggle to afford rent on a N(0, 0.5). @rlmcelreath
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Erik J. Ringen
Erik J. Ringen@err_ring·
Teaching statistics to grad students this semester. Reading Freedman's anti-regression piece "Statistical Models and Shoe Leather" (paper brought to my attention by @ed_hagen) next week to calibrate expectations. Tag urself on his ordinal scale of pessimism.
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Keşfet

@ed_kroc @just_cameron @github @camjpatrick @PhDemetri @DStibbardHawkes @SolomonKurz @elonmusk