Skip to main content
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
Results tagged with
Search options answers only not deleted user 212058

For questions about the theory or applications of the Poisson process, one of the most widely applied point processes in statistics and elsewhere.

0 votes

Data of daily counts modelled as Poisson process: should it be compound?

Discretising time: As you noted, you do not directly observe the time-stamped data from the point process, but rather only the counts of events for given time bins, in your case, days. So, the assumpt …
mloning's user avatar
  • 518
13 votes
Accepted

MLE for a homogeneous Poisson process?

You can use Maximum Likelihood Estimation, either with synchronous data (time-binned data) or asynchronous data (time-stamped data). The likelihood function changes accordingly. For time-binned (or s …
mloning's user avatar
  • 518
1 vote

Using Poisson process model for prediction

As pointed out in the previous answer by Glen_b, if it's a Poisson process, the wait time distribution is memoryless, i.e. the wait time until the next event does not depend on how much time has elaps …
mloning's user avatar
  • 518