Hawkes Process

stochastic-process · 37 views
stochastic-processpoint-process

What It Is

Self-exciting point process --- events trigger more events, creating clustered bursts

Interpretation

Standard analysis sees: low-complexity (predictable, not noise-like); time-irreversible (sharp rises, slow decay). The atlas additionally detects Time Reversibility:ordinal_reversal_distance.

What standard analysis sees
tail heaviness0.80
asymmetry0.79
occupancy0.38
short-range corr0.62
long-range memory0.63
spectral colour0.37
periodicity0.36
complexity0.14
time-irreversibility0.95
volatility clustering0.63
multifractality0.82
dimensionality0.59
nonstationarity0.63
What the atlas adds
Time Reversibility:ordinal_reversal_distance+2.5z
time-reversal symmetry breaking via Bandt-Pompe ordinal patterns
Atlas-extreme metrics the standard bank can’t predict for this source
Laplacian:gradient_curvature_anticorrelation+2.4zbank-miss 2.7σ
Visibility Graph:assortativity+2.1zbank-miss 2.4σ

Composition

dtypefloat64
range[1.064, 10.06]
unique values16384 / 16384
mean ± std9.07 ± 1.16

Render Gallery

Atlas Position

Nearest neighborDistance
Wind Speed3.90cross-origin
Solar Wind IMF3.90cross-origin
Collatz Trajectory4.06cross-origin

Open in Atlas →

Which Geometries Light Up

Laplacian › Laplacian:gradient_curvature_anticorrelationrank 5/3060.9969
Level Statistics › Level Statistics:wd_classificationrank 5/3060.2680
Visibility Graph › Visibility Graph:assortativityrank 5/3060.5315
Visibility Graph › Visibility Graph:avg_clustering_coeffrank 5/3060.8354
in continuous-flows
alphabetical
← / → within domain · ⇧← / ⇧→ alphabetical · ⇧← / ⇧→ inside an open render = same view across sources