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 42) — a neighbor conventional features miss.

What standard analysis sees
tail heaviness0.60
asymmetry0.56
occupancy0.53
short-range corr0.55
long-range memory0.48
spectral colour0.39
periodicity0.26
complexity0.56
time-irreversibility0.29
volatility clustering0.52
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 Normal2.49cross-origin
Ocean Swell2.69cross-origin
IMS Bearing Healthy2.94cross-origin

Open in Atlas →

Which Geometries Light Up

Higher-Order StatisticsHigher-Order Statistics:kurt_maxrank 304/3070.0736
Möbius-S³Möbius-S³:sector_transition_entropyrank 2/3070.6171
← (first)in random-matrix-quantum
alphabetical
← / → within domain · ⇧← / ⇧→ alphabetical · ⇧← / ⇧→ inside an open render = same view across sources