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 67799

The AutoCorrelation Function and Partial AutoCorrelation Function pertain to the correlation of a time series with itself at different lags. They are used to detect non-independence & suggest p, d, q terms in the Box-Jenkins approach to ARIMA modeling.

3 votes

ACF and PACF for a unit root process

Write the RW as (assuming a starting value $Y_0=0$) $$Y_t = \sum_{s=1}^{t} \epsilon_s$$ and so $$ \gamma_{tj} = E\left(\sum_{s=1}^t \epsilon_s \sum_{s=1}^{t-j}\epsilon_s\right) = (t-j)\sigma^2$$ Hen …
Christoph Hanck's user avatar
2 votes

How to calculate autocorrelation manually

Next to the points about starting values raised in the comments, there is another issue related to the "manual" formula for a deterministic difference sequence of the type you use that, irrespective o …
Christoph Hanck's user avatar