Search Results
Search type | Search syntax |
---|---|
Tags | [tag] |
Exact | "words here" |
Author |
user:1234 user:me (yours) |
Score |
score:3 (3+) score:0 (none) |
Answers |
answers:3 (3+) answers:0 (none) isaccepted:yes hasaccepted:no inquestion:1234 |
Views | views:250 |
Code | code:"if (foo != bar)" |
Sections |
title:apples body:"apples oranges" |
URL | url:"*.example.com" |
Saves | in:saves |
Status |
closed:yes duplicate:no migrated:no wiki:no |
Types |
is:question is:answer |
Exclude |
-[tag] -apples |
For more details on advanced search visit our help page |
Time series are data observed over time (either in continuous time or at discrete time periods).
1
vote
Modelling time-dependent rate using Bayesian statistics (pymc3)
As @twiecki suggested, the devs at pymc3 provided me with an answer.
The key to the solution is that theano provides an error function, allowing the skewed distribution to be coded.
You can wrap …
3
votes
2
answers
2k
views
Modelling time-dependent rate using Bayesian statistics (pymc3)
How to model time-dependent variables explicitly? (or alternatively, a better approach to modelling)
I measure events over time and there are two sources: a) constant rate baseline and b) a time-depe …
0
votes
I have the standard deviation, mean and the maximum value for a distribution between t=0 and...
If you could provide an example dataset would be good.
If I understand your question correctly, you have the mean value, standard deviation and maximum value for every minute and want to find an opt …