rwilson4

6 ms·

1.
by rwilson4 2y ago
This is a complex topic, but it's a bit simpler when outcomes are bounded, such as a binary outcome that either occurs or does not occur. In that case, the impact of any one factor is bounded. In the scenario you're describing, th
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by rwilson4 2y ago
The author is using the technical definitions of confounders and covariates without sufficient explanation, and the technical definitions do not match the normal English definitions. In English, a confounder is any factor that distorts an o
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by rwilson4 2y ago
In the hard sciences, it's often possible to isolate the phenomenon of interest away from any other influencing factors, e.g. in a laboratory. But many phenomena, like social interactions, or even agriculture, are difficult to isolate
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by rwilson4 2y ago
As someone who works with causal inference most days, I expected to find much fault with this article. I was pleasantly surprised to find how rigorous the article is, despite some other comments here. For more information on the role of ran
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by rwilson4 2y ago
Thanks, Bastien, for org-journal. I've used it almost every day for the last 4 years. Perhaps you'll find a new use for Emacs someday.
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by rwilson4 3y ago
The textbook, "Bayesian Data Analysis" by Gelman et al, has a good discussion on this in Chapter 8. Here are some relevant bits: "A naive student of Bayesian inference might claim that because all inference is conditional on
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by rwilson4 3y ago
Out of curiosity, how do you self-blind? Do you have a friend make your coffee for you, with/without the additive?
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Eglot and Tree-Sitter for Python Development in Emacs(adventuresinwhy.com)
2 points by rwilson4 4y ago|0 comments
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by rwilson4 4y ago
That's me! My primary language is python, but after that I write more elisp than anything else.
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by rwilson4 4y ago
I played around with different tap&hold durations (how long you have to hold before it registers as a hold rather than a tap), but I just couldn't find a duration that matched my rhythm. I kept getting holds when I wanted taps (for
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by rwilson4 4y ago
I have a Kinesis Advantage 2 and the thumb clusters are my favorite part. I think I probably spend too much time optimizing the layout of those keys though. Like, Escape is really awkwardly placed in the default layout so I moved it to the
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by rwilson4 4y ago
Exciting! I've happily used elpy [0] for years but it seems to be unsupported now. Might be time to switch! [0]: https://github.com/jorgenschaefer/elpy
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by rwilson4 4y ago
There are some great technical solutions offered, but the real one is to publish your data and your code, and be as transparent as you can about what you did.
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by rwilson4 4y ago
Agreed. But as Cox and Hinkley discuss, the likelihood principle is sometimes at odds with the repeated sampling principle, so in any particular application, you need to identify if there is a conflict, and if so, which principle is more im
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by rwilson4 4y ago
There is less of a conflict than many would have you believe. In many situations, both approaches yield the same answer. There are some edge cases. For example, in A/B testing, is early peeking bad? From a frequentist perspective the a
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by rwilson4 4y ago
Gelman is one of the few self-proclaimed Bayesians who doesn't seem to outright hate frequentist approaches. They're complementary approaches. Bayesian methods are great for combining different sources of information. Frequentist
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by rwilson4 4y ago
Generalized Linear Models by McCullagh and Nelder completely changed my perspective on supervised learning.
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by rwilson4 4y ago
Or maybe businesses see more of a need for causal reasoning, with or without a controlled, randomized experiment. If you're making a decision, you need to have some model of how your decision affects outcomes you care about. But that m
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by rwilson4 4y ago
Really interesting. I've always wished there was a formula to be better at conversations. I've never been good at it! I've tried to find books but the ones I've found come off as manipulative, not as a cure for social aw
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Improving Your Statistical Inferences(lakens.github.io)
1 points by rwilson4 4y ago|0 comments
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by rwilson4 4y ago
At the risk of a no-true-Scotsman argument, I want to point out the difference between Frequentism as practiced by statisticians and non-statisticians. Non-statisticians will simply say that a result was stat sig, without specifying even th
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by rwilson4 4y ago
Regardless of the pros and cons of Bayesian methods, here is what I believe is needed: - Pre-register all studies, declaring sample sizes and power analysis. - Report results regardless of outcome. Eliminate the "we only publish stat s
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by rwilson4 4y ago
Bayesian methods have a lot going for them, but you need some way of checking whether the methods are giving sensible answers. Andrew Gelman (well know professor, blogger, and author of Bayesian Data Analysis) relies on simulation, which is
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What Is Bayesian/Frequentist Inference?(normaldeviate.wordpress.com)
1 points by rwilson4 4y ago|0 comments
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by rwilson4 4y ago
And here I am mostly doing t-tests...
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by rwilson4 5y ago
You might be interested in Trustworthy Online Experiments by Kohavi et al then. I enjoyed the historical progression!
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by rwilson4 5y ago
TIL: https://www.lesswrong.com/tag/paperclip-maximizer
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by rwilson4 5y ago
Am I the only one who clicked on this expecting to read about the barrier method for interior point algorithms?
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by rwilson4 5y ago
I read Cox and Hinkley's Theoretical Statistics a few months ago and it's such a treat. Might need to buy his Analysis of Binary Data to commemorate.
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by rwilson4 5y ago
Yeah, I mean...Fisher was a pretty big jerk. It seems like he got in fights with everyone!

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