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- What is lag in a time series? - Mathematics Stack Exchange
Lag is essentially delay Just as correlation shows how much two timeseries are similar, autocorrelation describes how similar the time series is with itself Consider a discrete sequence of values, for lag 1, you compare your time series with a lagged time series, in other words you shift the time series by 1 before comparing it with itself Proceed doing this for the entire length of time
- algebra precalculus - What’s the right equation for determining how . . .
What’s the right equation for determining how many of X is needed for Y lagged results when X is normally distributed across a number of days? Ask Question Asked 2 years ago Modified 2 years ago
- Implementation of Total Variation Regularization Algorithm (Lagged . . .
Implementation of Total Variation Regularization Algorithm (Lagged Diffusivity Algorithm) Ask Question Asked 11 years, 5 months ago Modified 11 years, 5 months ago
- Time-lagged Pearson Correlation Coefficient - Mathematics Stack Exchange
I am a bit confused about the relation between the Pearson Correlation Coefficient (with time-lag) and Cross-Correlation I used to think that Cross-Correlation IS the Pearson Correlation Coefficient
- Computation of two covariances between time series (one with both . . .
Computation of two covariances between time series (one with both series at same time $t$, one with one lagged time series) Ask Question Asked 5 years, 7 months ago Modified 5 years, 7 months ago
- signal processing - Lag of a delagged exponential moving average . . .
From the paper, and the paper's title even "ZERO LAG (well, almost)", the adaptive filter described in the paper is not exactly $0$ lag The adaptive filter algorithm is designed to provide a compromise between reactivity (low delay) and smoothing It tries to be more reactive than a plain EMA while still smoothing the data
- statistics - Wages Regressed on Education and Experience: Estimate . . .
I'm confused about the last question I will quickly go through the beginning parts, so you can skip to question 3 at the very bottom as it may not be necessary Estimate linear regression for log
- How to prove that the Galois group of a radical field extension is . . .
Geoff Robertson has written a sketch solution, but my immediate reaction is that this is a standard textbook result, and you would do better to read a book about it rather than trying to do it as an exercise Lots of of people recommend Ian Stewart's book on Galois Theory for example
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