Timeline for Spline df selection in a general additive Poisson model problem
Current License: CC BY-SA 3.0
18 events
when toggle format | what | by | license | comment | |
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Sep 28, 2013 at 20:16 | history | edited | user88 | CC BY-SA 3.0 |
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Sep 27, 2013 at 21:44 | vote | accept | Fomite | ||
S Sep 27, 2013 at 21:44 | history | bounty ended | Fomite | ||
S Sep 27, 2013 at 21:44 | history | notice removed | Fomite | ||
Sep 27, 2013 at 21:38 | answer | added | Gavin Simpson | timeline score: 7 | |
Sep 27, 2013 at 4:55 | vote | accept | Fomite | ||
Sep 27, 2013 at 21:44 | |||||
Sep 26, 2013 at 15:54 | answer | added | M. Berk | timeline score: 2 | |
Sep 26, 2013 at 15:47 | answer | added | Brenden Dufault | timeline score: 3 | |
S Sep 26, 2013 at 15:15 | history | bounty started | Fomite | ||
S Sep 26, 2013 at 15:15 | history | notice added | Fomite | Draw attention | |
May 3, 2012 at 5:14 | history | tweeted | twitter.com/#!/StackStats/status/197916949232095232 | ||
May 2, 2012 at 23:11 | comment | added | Fomite | The dataset is 132 weeks of data, modeled as counts = model terms + log(person-time) as an offset. The counts never go particularly high - but there are a fair number of zeroes. | |
May 2, 2012 at 23:09 | comment | added | AdamO | In your dataset with 132 observations, is there an associated count and offset term, implying it is actually a weighted dataset with many more than 132 observations? Because of the mean variance relationship in Poisson RVs, large counts can lead to "model selection" properties which are unfavorable due to the "large sample size". | |
May 2, 2012 at 23:06 | history | edited | Fomite | CC BY-SA 3.0 |
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May 2, 2012 at 23:00 | history | edited | Fomite | CC BY-SA 3.0 |
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May 2, 2012 at 22:50 | history | edited | Fomite | CC BY-SA 3.0 |
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May 2, 2012 at 22:31 | history | edited | Fomite | CC BY-SA 3.0 |
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May 2, 2012 at 22:04 | history | asked | Fomite | CC BY-SA 3.0 |