Stationary time series

Stationarity imposes time-shift invariance on distributions or specified moments.

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Autocorrelation
Autocorrelation measures dependence between a process and its lagged values.
Multiple testing
Testing many hypotheses requires controlling an appropriate combined error measure.
Analysis of variance
ANOVA partitions variation to test mean differences under model assumptions.
Bayes theorem
Bayes theorem relates conditional probabilities in opposite directions using prior probabilities and a nonzero evidence probability.
Bayesian inference
Prior and likelihood combine into a posterior distribution through Bayes' rule.