ARMA(2,1)

noise · 36 views
noise

What It Is

Autoregressive moving-average process --- linear short-memory dynamics, the workhorse model of classical time-series analysis

Interpretation

Standard analysis sees: high-dimensional / space-filling. The atlas detects no named structure beyond this.

What standard analysis sees
tail heaviness0.60
asymmetry0.56
occupancy0.52
short-range corr0.55
long-range memory0.49
spectral colour0.39
periodicity0.26
complexity0.57
time-irreversibility0.30
volatility clustering0.53
multifractality0.42
dimensionality0.85
nonstationarity0.38
What the atlas adds

Nothing beyond the standard reading — this source’s structure is already captured by standard features; the atlas adds no named residual.

Composition

dtypefloat64
range[-7.193, 7.763]
unique values16384 / 16384
mean ± std0.0147 ± 1.7

Render Gallery

Atlas Position

Nearest neighborDistance
MFPT Normal2.55cross-domain
Ocean Swell2.70cross-domain
MFPT Outer Race2.90cross-domain

Open in Atlas →

Which Geometries Light Up

Attractor ReconstructionAttractor Reconstruction:kaplan_yorke_dimrank 4/2985.4923
Higher-Order StatisticsHigher-Order Statistics:kurt_maxrank 294/2980.0789
Möbius-S³Möbius-S³:sector_transition_entropyrank 4/2980.6184
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