Stan Alternatives

stan reviews and mentions

• Stan: Statistical modeling and high-performance statistical computation
  1 project | news.ycombinator.com | 4 Mar 2024
• Elevate Your Python Skills: Machine Learning Packages That Transformed My Journey as ML Engineer
  5 projects | dev.to | 14 Aug 2023

  Alternatives: stan and edward

• How often do you see Bayesian Statistics or Stan in the DS world? Essential skill or a nice to have?
  2 projects | /r/datascience | 17 Jun 2023
• Rstan Package in ATPA
  1 project | /r/actuary | 2 Jun 2023

  remove.packages(c("StanHeaders", "rstan")) install.packages("rstan", repos = c("https://mc-stan.org/r-packages/", getOption("repos")))

• [Q] Is there a method for adding random effects to an interval censored time to event model?
  1 project | /r/statistics | 29 May 2023

  My approach to problems like this is to write down the proposed model mathematically first, in extreme detail. I find hierarchical form to be the easiest way to break it down piece by piece. Once I have the maths then I turn it into a Stan model. Last step is to use the Stan output to answer the research questions.

• HELP Conjugate Priors in Bayesian Regression in SPSS
  1 project | /r/AskStatistics | 24 May 2023

  Here is a good breakdown of recommendations from Andrew Gelman.

• Demand Planning
  1 project | /r/AskProgramming | 14 May 2023

  For instance my first choice in these cases is always a Bayesian inference tool like Stan. In my experience as someone who’s more of a programmer than mathematician/statistician, Bayesian tools like this make it much easier to not accidentally fool yourself with assumptions, and they can be pretty good at catching statistical mistakes.

• What do actual ML engineers think of ChatGPT?
  2 projects | /r/learnmachinelearning | 11 May 2023

  I tend to be most impressed by tools and libraries. The stuff that has most impressed me in my time in ML is stuff like pytorch and Stan, tools that allow expression of a wide variety of statistical (and ML, DL models, if you believe there's a distinction) models and inference from those models. These are the things that have had the largest effect in my own work, not in the sense of just using these tools, but learning from their design and emulating what makes them successful.

• ChatGPT4 writes Stan code so I don’t have to
  2 projects | news.ycombinator.com | 23 Apr 2023
• How to get started learning modern AI?
  1 project | news.ycombinator.com | 3 Apr 2023

  oh its certainly used in practice. you should look into frameworks like Stan[1] and pyro[2]. i think bayesian models are seen as more explainable so they will be used in industries that value that sort of thing

  [1] https://mc-stan.org/

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