Brownian Walk

stochastic-process · 37 views
stochastic-processstochastic

What It Is

Cumulative sum of Gaussian increments --- the canonical random walk, self-affine with Hurst exponent H=0.5 and PSD ~ 1/f²

Interpretation

Standard analysis sees: left-skewed; smooth / autocorrelated; long-range memory (persistent); volatility-clustering (bursty). The atlas additionally detects Nonstationarity:adf_pvalue.

What standard analysis sees
tail heaviness0.32
asymmetry0.12
occupancy0.79
short-range corr0.93
long-range memory0.91
spectral colour0.26
periodicity0.79
complexity0.70
time-irreversibility0.39
volatility clustering0.91
multifractality0.42
dimensionality0.15
nonstationarity0.82
What the atlas adds
Nonstationarity:adf_pvalue+2.7z
unit-root nonstationarity (ADF cannot reject random-walk null)
Atlas-extreme metrics the standard bank can’t predict for this source
Dodecagonal (Stampfli):pisot_triplet_coherence+3.4zbank-miss 1.3σ

Composition

dtypefloat64
range[-111.9, 132.9]
unique values16384 / 16384
mean ± std14.5 ± 56.1

Render Gallery

Atlas Position

Nearest neighborDistance
Geometric Brownian Motion2.29
Perlin Noise2.30
Regime Switching2.58

Open in Atlas →

Which Geometries Light Up

Catch24 › Catch24:CO_f1ecacrank 4/3062334.6222
Catch24 › Catch24:DN_OutlierInclude_n_001_mdrmdrank 4/3060.3049
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