ARMA(2,1)

stochastic-process · 37 views
stochastic-processstochastic

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. It sits beside IMS Bearing Healthy in the atlas (standard-bank rank 35) — a neighbor conventional features miss.

What standard analysis sees
tail heaviness0.60
asymmetry0.29
occupancy0.52
short-range corr0.56
long-range memory0.50
spectral colour0.37
periodicity0.27
complexity0.58
time-irreversibility0.70
volatility clustering0.54
multifractality0.37
dimensionality0.87
nonstationarity0.40
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 Normal2.49cross-origin
Ocean Swell2.69cross-origin
IMS Bearing Healthy2.94cross-origin

Open in Atlas →

Which Geometries Light Up

Higher-Order Statistics › Higher-Order Statistics:kurt_maxrank 303/3060.0736
Möbius-S³ › Möbius-S³:sector_transition_entropyrank 2/3060.6171
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