Dec 3, 2017 · 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 …

Nov 17, 2023 · 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 …

May 20, 2019 · 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 …

Implementation of Total Variation Regularization Algorithm (Lagged Diffusivity Algorithm) Ask Question Asked 11 years, 5 months ago Modified 11 years, 5 months ago

Feb 1, 2020 · 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 …

Apr 28, 2021 · 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 …

Dec 30, 2021 · 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 …

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 …

Nov 16, 2018 · Roughly speaking, the sample autocorrelation of lag $\ell$ of a vector $ (X_1, \dots X_n)$ is the sample correlation of the vector $ (X_1, \dots, X_ {n-\ell})$ and and the …

May 1, 2021 · And what about the other book, A course of Pure Mathematics ? It was written in 1908 by Hardy, the best 20th century British analyst, and helped revive Analysis in Great …