Timeline for Bayesian user survey with a credible interval
Current License: CC BY-SA 3.0
13 events
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| Apr 13, 2017 at 12:44 | history | edited | CommunityBot |
replaced http://stats.stackexchange.com/ with https://stats.stackexchange.com/
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| Oct 16, 2012 at 13:35 | comment | added | Brian Tingle | videolectures.net/mlss07_teh_dp just putting this here "Dirichlet Processes: Tutorial and Practical Course" | |
| Oct 16, 2012 at 13:29 | comment | added | Brian Tingle |
Thanks! meta question; if I have follow up questions, should I start a new question that references this one, or ask on this question? I'm trying to puzzle out how rdirichlet(x + 1) returns a different result each time.
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| Oct 15, 2012 at 23:41 | comment | added | Zen | I've posted R code for the analysis of website A. | |
| Oct 15, 2012 at 19:33 | vote | accept | Brian Tingle | ||
| Oct 18, 2012 at 1:42 | |||||
| Oct 15, 2012 at 3:40 | comment | added | Brian Tingle | The data we have for one week of running the survey on every unique visitor is all in google analytics, and I have an analysis the project manager did that is in powerpoint but I can't open that until I get into the office, everything is blank when I open in in keynote, but I'll see what I can get from the retrospective data. My goal is to prospectively run the survey continuously, for one out of every 1000 unique visits, so when I was working this out on a spreadsheet I was trying to model adding one survey response at a time to see how it would update the distribution. Thanks again! | |
| Oct 15, 2012 at 3:05 | comment | added | Zen | The likelihood contains all information about the parameters ("population" proportions) contained in your data (surveys's answers). | |
| Oct 15, 2012 at 3:03 | comment | added | Zen | $x_1$ is the number of k12-teacher-librarian answers you've got doing the surveys. | |
| Oct 15, 2012 at 3:02 | comment | added | Zen | I think I still have a fundamental ignorance about priors and likelihood. Solve the problem of estimating the parameter of a binomial experiment using a beta prior and the whole thing will probably tick. | |
| Oct 15, 2012 at 3:00 | comment | added | Zen | Why assume they are distributed uniformly, and not, say, in proportion to their fraction of the US population? You may do that. I wouldn't, because I don't know if the users of my particular library follow the pattern of the american population. Also, if have you have enough answers to your survey, then the posterior computed with my Dirichlet(1,1,\dots,1) prior or with another Dirichlet prior will be very similar. | |
| Oct 15, 2012 at 1:32 | history | edited | Brian Tingle | CC BY-SA 3.0 |
added another sentence because I just figured out something important
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| Oct 15, 2012 at 1:25 | review | First posts | |||
| Oct 15, 2012 at 1:29 | |||||
| Oct 15, 2012 at 1:24 | history | answered | Brian Tingle | CC BY-SA 3.0 |