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Time series are data observed over time (either in continuous time or at discrete time periods).

13 votes
2 answers
51k views

How to interpret autocorrelation of residuals and what to do with it?

I was wondering what does it mean when time series residuals have autocorrelation? How should I deal with it?
jjepsuomi's user avatar
  • 5,907
4 votes
2 answers
410 views

Help with understanding stationarity

I'm new in time series and the concept of stationarity has been bugging me for a while :( I know the definition of stationarity but it is not 100% clear for me why for example we have to difference th …
jjepsuomi's user avatar
  • 5,907
5 votes
1 answer
25k views

Step-by-step example of predicting time series with ARIMAX or ARMAX model?

Could someone give me a step-by-step example of time series prediction using ARIMAX or ARMAX model? The example doesn't need to be long or complicated. It could be for example forecasting temperature …
jjepsuomi's user avatar
  • 5,907
4 votes
1 answer
5k views

Confusion about error term in ARMA-model when predicting future values

Let's say I'm fitting data for example to ARMA(1,1)-model: $x_t = \phi x_{t-1} + \epsilon_t + \theta \epsilon_{t-1}$. Now I estimate the parameters $\phi$ and $\theta$ and solve some values for them …
jjepsuomi's user avatar
  • 5,907
4 votes
2 answers
11k views

Help interpreting ACF- and PACF-plots

My ACF- and PACF plots are illustrated below: The first one is in original scale and the second picture is zoomed. What process would you classify this? AR, MA or ARMA? =) Thank you for any he …
jjepsuomi's user avatar
  • 5,907
27 votes
2 answers
30k views

What is the intuition of invertible process in time series?

I'm reading a book on time series and I started scratching my head in the following part: Could someone explain the intuition for me? I couldn't get it from this text. Why do we need the process to …
jjepsuomi's user avatar
  • 5,907
1 vote
2 answers
1k views

Help with my time series ARX model prediction?

I have created an ARX-model where I predict the nitrogen oxide levels based on past values of nitrogen oxide with past exogenous input values nitrogen dioxide, temperature, atmospheric particulate mat …
jjepsuomi's user avatar
  • 5,907
1 vote
0 answers
481 views

How to calculate confidence interval for autocorrelation- and cross correlation functions? [duplicate]

I would like to calculate the confidence interval for my autocorrelation function. Does this calculation differ in any way from the normal way of calculating confidence intervals? How would I calculat …
jjepsuomi's user avatar
  • 5,907
14 votes
4 answers
29k views

Understanding the blue dotted lines in an ACF from R

I'm having a bit of trouble understanding the blue dotted lines in the following picture of autocorrelation function: Could someone give me a simple explanation, what they are telling me?
jjepsuomi's user avatar
  • 5,907
17 votes
1 answer
10k views

Question about sample autocovariance function

I'm reading a time series analysis book and the formula for sample autocovariance is defined in the book as: $$\widehat{\gamma}(h) = n^{-1}\displaystyle\sum_{t=1}^{n-h}(x_{t+h}-\bar{x})(x_t-\bar{x})$ …
jjepsuomi's user avatar
  • 5,907
0 votes
0 answers
739 views

How to calculate the prediction interval for my 24-hour forecast?

I'm doing time series analysis and I would like to calculate the prediction interval. I have predicted the next 24 values for my time series, but now I would also like to calculate the prediction inte …
jjepsuomi's user avatar
  • 5,907