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  • 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
  • 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
  • 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
  • User Tristan Þórđarson - Mathematics Stack Exchange
    Q A for people studying math at any level and professionals in related fields
  • algebraic topology - What is wrong in this derivation of Euler . . .
    Oh, I see reading more carefully, that you are trying to remove a disk in the middle of an existing $2$-cell You can't do that, because it breaks the cell structure The interior of all cells have to be homeomorphic to open disks
  • Topology in a Boolean valued model - Mathematics Stack Exchange
    I don't think this is easy to come up with if one hasn't seen it before It is a special instance of a much more general result called Shoenfield's absoluteness theorem In fact, one only needs the absoluteness for $\Pi^1_1$ formulas here, but that's already a non-trivial argument and uses the absoluteness of well-foundedness In your specific example, the argument goes something like this
  • Proof of Lemma for the Optional sampling theorem ( Klenkes Probability . . .
    I am reading the Klenke's Probability theory, Second edition, Lemma 10 10 and stuck at some statements The following are preliminaries Definition 8 11 ( Conditional expectation) Let $\\mathcal{F} \\
  • Different Ways To Calculate Conditional Probabilities
    However, I do not know if using "lagged values of the response variable" will violate the assumptions of the Regression Model Thus, my question is - are all 3 methods valid approaches to estimating the conditional probabilities and testing the hypothesis of the coach?
  • 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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