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AIMLModeling/OrnsteinUhlenbeck

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The Ornstein-Uhlenbeck process is a key model for mean-reverting stochastic behavior, characterized by its tendency to revert to a long-term mean, along with random fluctuations. I simulated the Ornstein-Uhlenbeck process, compared calculated parameters with theoretical parameters, analyzed first passage time. https://youtu.be/dV23py1ISs0

active 2024-07-06 → 2025-09-13 (UTC)

Complete coverage28,145 / 28,145 hourly files (100%) · 2 absent upstream2023-08-15 → 2026-10-30 (UTC)
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6
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1
Pull requests
0
Issues
0
Stars
2
Forks
1

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Line chart, 435 days from 2024-07-06 to 2025-09-13. Pushes: 1 total, peak 1 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 0 total, peak 0 in a day. Comments: 0 total, peak 0 in a day. Stars: 2 total, peak 1 in a day.

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Stars, PRs, issues and forks are under-captured in the later part of this window. GH Archive progressively stopped capturing non-push events during 2026 — −95% or worse by the end of the window. Every series here except Pushes fades for that reason, so a decline above reflects the archive, not this repository. Pushes stay reliable throughout, so read them, and the contributor counts derived from them, as the real signal. Data health has the measurements.

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AIMLModeling1100

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Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 2 stars here means stars gained during the window, not the repo's star count.