Updated 6 months ago
@stdlib/stats-incr-mmda
Compute a moving mean directional accuracy (MDA) incrementally.
Updated 6 months ago
@stdlib/stats-incr-ewmean
Compute an exponentially weighted mean incrementally.
Updated 6 months ago
@stdlib/stats-incr-mmae
Compute a moving mean absolute error (MAE) incrementally.
Updated 6 months ago
@stdlib/stats-incr-mmeanabs2
Compute a moving arithmetic mean of squared absolute values incrementally.
Updated 6 months ago
@stdlib/stats-incr-mmeanabs
Compute a moving arithmetic mean of absolute values incrementally.
Updated 6 months ago
@stdlib/stats-incr-mmeanstdev
Compute a moving arithmetic mean and corrected sample standard deviation incrementally.
Updated 6 months ago
@stdlib/stats-iter-mmean
Create an iterator which iteratively computes a moving arithmetic mean.
Updated 6 months ago
@stdlib/stats-iter-mmeanabs
Create an iterator which iteratively computes a moving arithmetic mean of absolute values.
Updated 6 months ago
stats-incr-mmeanvar
Compute a moving arithmetic mean and unbiased sample variance incrementally.
Updated 6 months ago
tsa-course
Book and material for the course "Time series analysis with Python" (STA-2003)
arima
chaos-theory
course
exponential-smoothing
fourier-transform
kalman-filter
moving-average
multivariate-time-series
non-linear-dynamics
prophet
quantitative-finance
recurrent-neural-networks
reservoir-computing
signal-processing
stationarity
time-series-analysis
time-series-classification
time-series-clustering
time-series-forecasting
unit-root-test