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 not deleted user 109372

Autocorrelation (serial correlation) is the correlation of a series of data with itself at some lag. This is an important topic in time series analysis.

0 votes
0 answers
21 views

Is this the correct computation of autocorrelation for lag=1? [duplicate]

Now we can calculate the autocorrelation for lag 1: $$\text{ACF}(1) = \frac{\text{Numerator Sum}}{n \times \text{Var}(X)} = \frac{4}{10} = 0.4$$ Thus, the autocorrelation at lag 1 for the series {1,2,3,4,5 … Is this the correct computation of autocorrelation with for lag=1? …
user366312's user avatar
  • 2,125
1 vote
0 answers
48 views

How can I compute the longest relaxation time?

In the case of Monte Carlo simulations: Autocorrelation Time ($\tau_{\text{int}}$): A measure of how many steps are needed for the correlations in the chain to become small; it affects the variance of … I realize that autocorrelation time is the sum of autocorrelation values over a given maximum lag time. …
user366312's user avatar
  • 2,125
0 votes
0 answers
40 views

How can I determine if a system is equilibrated?

") first_half = first_half[shave_size:] second_half = second_half[shave_size:] if corr1 == 1.0: break return returns The function iteratively compares the autocorrelation … The drawback of this algorithm is that it uses autocorrelation computation, which takes a lot of time, irrespective of the programming language used. Can you propose any alternative technique? …
user366312's user avatar
  • 2,125
3 votes
2 answers
203 views

Autocorrelation in the vector case

The computed autocorrelation values are then filtered based on the specified thresholds (thresholdMin and thresholdMax). … The autocorrelation formula used in the case of $r^2_{end-to-end}$ is working fine and giving plots as expected. …
user366312's user avatar
  • 2,125
3 votes
1 answer
124 views

Reference for autocorrelation formula for vectors

This post on Stack Overflow says that the autocorrelation, or self correlation, of vectors is defined as $$C(t, \{v\}_n) = \frac {1}{n-t}\sum_{i=0}^{n-1-t}\vec v_i\cdot\vec v_{i+t}$$ What is the source …
user366312's user avatar
  • 2,125