Viewing profile — rwilson4

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…

The author is using the technical definitions of confounders and covariates without sufficient explanation, and the technical definitions do not match the normal English definition…

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 inter…

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 …

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.

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 …

Out of curiosity, how do you self-blind? Do you have a friend make your coffee for you, with/without the additive?

That's me! My primary language is python, but after that I write more elisp than anything else.

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 r…

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 …

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

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.

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 i…

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 …

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 combin…

Generalized Linear Models by McCullagh and Nelder completely changed my perspective on supervised learning.

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 yo…

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 m…

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 simpl…

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 regar…

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 auth…

And here I am mostly doing t-tests...