df_add_utms
df_arrange_by_site_and_survey
df_thinned_by_waiting_time
23.02.2026 23:10
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they look so bad, but I feel compelled to use base pipe
23.02.2026 23:08
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are the bangers in the room with us now?
05.02.2026 20:39
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Lmao
01.02.2026 02:36
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How much carbon did this thread use?
21.01.2026 04:30
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Does anyone here listen to Professor Jiang? @predictivehistory.bsky.social
21.01.2026 00:45
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Unironically no. Reflect the heat back in.
27.12.2025 23:58
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Shiny side in is for cooking to reflect the heat back to the food. For storage it’s irrelevant.
27.12.2025 23:57
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Same
23.12.2025 00:44
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what's the model? why not just random school effects with pooled scales?
18.12.2025 22:19
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Congrats!! Can't wait to read it.
18.12.2025 22:15
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it feels natural, but log(gamma(1, 1)) puts more prior mass on negative values. which seems countintuitive, but perhaps it isn't as we're dealing with rates.
18.12.2025 21:57
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Yeah sorry I should've clarified, the idea would be to put a log Gamma prior on the coefficients, i.e.:
intercept ~ gamma(1, 1)
beta ~ gamma(1, 1)
lambda = exp(log(intercept) + log(beta) * x)
y ~ poisson(lambda)
18.12.2025 21:56
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O
18.12.2025 01:17
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Ecologists will literally use normal(0, 1000) priors for intercepts in slopes in logistic and Poisson models.
18.12.2025 01:14
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Haven't been here in ages so just gonna take the liberty of tagging @rmcelreath.bsky.social because I think he'd have some good thoughts on this.
18.12.2025 01:13
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In (Gaussian) linear models, we usually put normal priors for regression coefficients. How do we feel about putting gamma(a, a) priors in something like Poisson regression? Using rates for rates seems nice; the geometric means are still 1, meaning the priors are centered on no multiplicative effects
18.12.2025 01:13
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logistic(0, 1) is literally uniform on [0, 1].
18.12.2025 01:11
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Just a curious thing to do a week before FOMC especially when cuts were predicted.
18.09.2025 00:05
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What was your reasoning?
18.09.2025 00:03
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IG
14.06.2025 03:45
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Make everything the same shade of black and that’s my theme.
10.06.2025 11:48
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I can’t stand that online journals can’t format equations properly.
29.05.2025 20:37
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Have you read ai-2027.com?
26.05.2025 11:34
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How about the rise of Stan tho
19.05.2025 07:09
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McElreath uses Mac!
19.05.2025 07:08
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AI 2027
A research-backed AI scenario forecast.
What do people think of this?
ai-2027.com
18.05.2025 07:52
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Is it at least the least of two evils?
17.05.2025 03:31
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Non collapsibility? Time invariance? I know for a fact the latter isn’t a problem with hazard ratios.
15.05.2025 09:45
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@jordannafa.bsky.social
14.05.2025 22:26
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