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Chelsea Parlett-Pelleriti

20 Nov, 9 tweets, 6 min read

https://twitter.com/ChelseaParlett/status/1329572163947433986

⚠️ SO YOU WANT TO BE A BAYESIAN⚠️ :

(since I compiled a quick list of Bayesian resources today, I figured I should share; these are just my opinion!)

https://twitter.com/ChelseaParlett/status/1329572163947433986

📚 Beginner book (R): Bayesian Statistics the fun way —amazon.com/dp/B07J461Q2K/…

📚 Beginner-Intermediate book (R + JAGS + Stan): Doing Bayesian Data Analysis: amazon.com/Doing-Bayesian…

📚 Intermediate book (R + Stan) : Statistical Rethinking—
amazon.com/Statistical-Re…

📚 Intermediate/Advanced Book (R + Stan) : Bayesian Data Analysis (amazon.com/Bayesian-Analy…)

📚 Bayesian modeling for cogsci + psych (R + JAGS + BUGS): Bayesian Cognitive Modeling (bayesmodels.com)

💻 Software: I ❤️ brms and rstan in R (brms uses lm() syntax + you can use the command stancode() to get the Stan code from a brms model in order to learn Stan.)

Stan is good for models where you need direct control over everything).

💻 Tidybayes and bayesplot are helpful side packages too.

📝People’s writing: Paul Burkner (paul-buerkner.github.io/publications/)

📝 Michael Betancourt (betanalpha.github.io/writing/; I recommend starting with towards a principled bayesian workflow)

📝 Solomon Kurz (solomonkurz.netlify.app/post/)

📹 YT videos: Statistical Rethinking (associated with the book)—youtube.com/channel/UCNJK6…

@betanalpha

a few #bayesTwitter people/software to follow: @betanalpha @paulbuerkner @SolomonKurz @EJWagenmakers @VandekerckhoveJ @richarddmorey @rlmcelreath @JeffRouder @willkurt @Corey_Yanofsky @mcmc_stan

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More from @ChelseaParlett

Chelsea Parlett-Pelleriti

@ChelseaParlett

18 Nov

https://twitter.com/angebassa/status/1329092320021663744

Wanna become a data scientist?

Sᴛᴇᴘ 1: ɢᴇᴛ ᴅᴀᴛᴀ.
Sᴛᴇᴘ 2: ᴅᴏ sᴄɪᴇɴᴄᴇ.

https://twitter.com/angebassa/status/1329092320021663744

Alternatively:

Step 1: Think about becoming a lawyer but ditch that because you can’t stand foreign political history classes. Add a philosophy double major because sureee that’ll help🙄. Then switch to psychology, meet an awesome statistician and decide you love statistics

in your last semester of college.
graduate. Work in a cognitive neuroscience lab while living at home, apply to data science grad programs, get rejected by Berkeley, get into Chapman university, find an advisor who needs someone with stats AND psych expertise,

Read 5 tweets

Chelsea Parlett-Pelleriti

@ChelseaParlett

14 Aug

Pangolins that look like grad students asking their advisor if there's funding for them for next year: A Thread🧵

"Should I apply for GRFP?"

"I have to TA how many courses?!"

Read 4 tweets

Chelsea Parlett-Pelleriti

@ChelseaParlett

4 Mar

https://twitter.com/epsnonsense/status/1234567738858901505

Moving from psych to stats/DS is totally doable Depending on your training, there may be some gaps you need to fill, content-wise, but those gaps 1) aren't insurmountable + 2) will not automatically make you a bad data person just because you're working on filling them.

1/8

https://twitter.com/epsnonsense/status/1234567738858901505

Doing good DS requires hard work/rigor but it’s not exclusive to “math” people. You can do it.

2/8

Personally, I had gaps in math + comp sci. I learned to code (Python, R, C++, SQL) and took/audited a bunch of probability, stats, and linear algebra classes. Those classes CERTAINLY helped me, but I could've learned the content w/o them it was just easier/more structured.

3/8