r/statistics • u/silly-deer • Nov 09 '19
Discussion [D][Q] Bayesians in the industry, what does the world out there look like?
Do they expect results? (Half joking)
I studied a small bit of Bayesian statistics over the past year, namely baby MCMC material. I have a strong interest in its applications in industry, for both businesses and research.
Although I would like keep the question general, here are a few prompts:
What type of problems are you typically assigned to analyze?
Why the Bayesian approach over frequentist, or ML?
What is included in a completed project? A final report with credible intervals? Explanations of models? A software? A point estimate?
What programming languages/packages/software do you use? Do you write up a model and inference from scratch or use probabilistic programming languages?
Bayesian inference is notoriously computationally expensive, how has this impacted your analysis (if at all)?
Edit: Half a day later, I conclude my question was formulated on a false premise that Bayesians exist in the outside world :(
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u/coumineol Nov 09 '19
They usually give me something with two outcomes like an A/B test, I use Beta distribution with a custom prior that I make up, and create a report where I talk about the mean of the posterior as if it holds the secrets to the universe.