Geometric Waiting Times

stochastic-process · 37 views
stochastic-processpoint-process

What It Is

Geometric(p) inter-arrival times with p ~ Uniform(0.05, 0.2). Strongly peaked at low values with an exponential tail; memoryless by construction, no temporal correlations.

Interpretation

Standard analysis sees: heavy-tailed; right-skewed; aperiodic / broadband; high-complexity (noise-like). The atlas detects no named structure beyond this.

What standard analysis sees
tail heaviness0.86
asymmetry0.91
occupancy0.26
short-range corr0.29
long-range memory0.35
spectral colour0.71
periodicity0.07
complexity0.85
time-irreversibility0.56
volatility clustering0.31
multifractality0.35
dimensionality0.60
nonstationarity0.37
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[1, 59]
unique values53 / 16384
mean ± std6.82 ± 6.31

Render Gallery

Atlas Position

Nearest neighborDistance
Poisson Spacings1.93cross-origin
Prime Gaps2.23cross-origin
Zipf Distribution2.61

Open in Atlas →

Which Geometries Light Up

Klein BottleKlein Bottle:wht_spectral_kurtosisrank 304/3071.3833
NonstationarityNonstationarity:trajectory_dimrank 2/3070.8220
Zipf–Mandelbrot (16-bit)Zipf–Mandelbrot (16-bit):zipf_r_squaredrank 5/3070.9874
in stochastic-process
alphabetical
← / → within domain · ⇧← / ⇧→ alphabetical · ⇧← / ⇧→ inside an open render = same view across sources