Oh! This is a nice paper summarizing a lot of information about prior choice in Bayesian models. It's targeted at ecologists and the kinds of models they tend to use, but useful outside of ecology I expect.


Yeah, but I'm not sure that I can search them from a file browser. I should probably check that, first. 😂

I've been hoping to go the route of converting all PDFs to text and then using some text mining software packages to classify their topics and likely interrelationships for me. (+ It'd be nice to pipe the word/topic indexes that I make from this into an open API that others can tap into if they can't/won't do the text mining themselves.)

@bthall @invaderxan Do you have any good suggestions for how we *should* organise such papers as pdfs?

I'm thinking / hoping that for this I can get around to making a personal system for searching through and finding papers that I've saved. I have this already for web articles (read and to-read), and it's really nice.

Word of caution. If you, like me, save PDF copies of papers to a directory called "to read" or "unsorted" or similar, try not to let them accumulate.

This advice brought to you by that one scientist who just spent literal hours sorting through a folder full of several hundred papers.

It'd be kinda cool if a statistical programming language / package provided checks on whether one's use of methods is theoretically proper or not.

Recently I managed to realize that I was planning to plot some of my personal finance data in a way that would suggest that path dependence isn't playing an important role in it, when it quite likely is.

I was checking some of the seeds I'm germinating, and look! This orange seed is polyembryonic!

Polyembryonic seeds are basically what happens when a plant has twins, and one seed contains more than one embryo. Some plants (like some types of mango) always grow seeds like this. In my experience, it's unusual in oranges though.

Sweet! I'll try it, then. I've been looking at the new book draft, and I like it quite a lot. :) I might not have enough Python knowledge yet, but I'll try it anyway. :D

I was worried about following this approach because the video lectures that accompany this have kinda bad audio and there's newer recordings that are good but are more associated with an updated form of the book that these Python examples might not relate much to :/

Last night I gave a short presentation at a meetup, and it went pretty well. I demonstrated that you can easily use interactive widgets in #Jupyter notebooks to explore a problem and present the notebook in a way that is useful and less worrying to code-averse users (hides code, retains text and interactivity via the "appmode" extension). I showed this with #Python but included that this works in #Julia, too.

You can see the presentation notebook here: https://gitlab.com/bthall/econ-notebooks/blob/master/PayoutAnnuity%20-%20Talk%20Copy.ipynb

Someone: one of the perils of free education is that you might very well end up like mastodon user sargoth

Me, in the background: it rules

@scisus I like this first video a lot, so much so that I might end up learning to keep up with it.

Otherwise, I have been looking at working through the *Think Stats*[1] and *Think Bayes*[2] to refresh my knowledge and learn methods. :)

[1]: greenteapress.com/wp/think-sta
[2]: greenteapress.com/wp/think-bay

lovely scholars,

please would you help a fellow mastodonian out? she's super close to completing her masters but is still short for tuition fees!


One of the things I'm learning this year is building up a base of people with similar interests

Partly so I can show them stuff which is cool but niche, but also because it's so much less lonely than when I was going, "This is a Cool and Unique Interest That I Shall Pursue Alone!"

@nimirea My first big mentor made me feel like a peer. That was huge for me, and made me approach my discipline in a totally different way. Sometimes we fail individually, but if you get a sense that you are collectively striving towards some ideal, you can also see how things can be worthwhile.

It also taught me that you have to be intellectually generous and admit your limits.

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Scholar Social

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Federated microblogging for academics

Scholar Social is a microblogging platform for researchers, grad students, librarians, archivists, undergrads, academically inclined high schoolers, educators of all levels, journal editors, research assistants, professors, administrators—anyone involved in academia who is willing to engage with others respectfully.

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"Official" monthly journal club!

(Participation is, of course, optional)

Scholar Social features a monthly "official" journal club, in which we try to read and comment on a paper of interest.

Any user of Scholar Social can suggest an article by sending the DOI by direct message to @socrates@scholar.social and one will be chosen by random lottery on the last day of the month. We ask that you only submit articles that are from *outside* your own field of study to try to ensure that the papers we read are accessible and interesting to non-experts.

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