A statistical toolbox for diffusion processes and stochastic differential equations. Named after the Brownian Bridge.
-
Updated
Jan 27, 2022 - Jupyter Notebook
A statistical toolbox for diffusion processes and stochastic differential equations. Named after the Brownian Bridge.
Detection of evolutionary shifts in Ornstein-Uhlenbeck models
Ornstein-Uhlenbeck models for phylogenetic comparative hypotheses
Ornstein-Uhlenbeck brownian motion Script CHOP for TouchDesigner — smooth, mean-reverting procedural noise
Tennis Game play using Multi Agent DDPG - Deep Reinforcement Learning
A real-time dynamic clamp sketch for the pyClamp interface
A collection of numerical implementations for the simulation of well-known stochastic processes on MATLAB.
R package for the exact simulation of non-negative shot noise processes and Lévy-driven non-Gaussian Ornstein-Uhlenbeck (OU) processes, in particular OU-Poisson, OU-Gamma and OU-inverse Gaussian processes from the paper by Tamborrino and Lansky, 'Shot noise, weak convergence and diffusion approximations', Physica D, 2021. https://www.sciencedire…
Independently maintained fork of l1ou for detecting evolutionary shifts and convergent regimes in comparative data.
A Pyro-PPL implementation of a 2D Ornstein-Uhlenbeck process using stochastic variational inference.
Teach a Quadcopter How to Fly!
Educational mini research on diffusion and Ornstein-Uhlenbeck interpretations of equity-market dynamics using detrended log-prices.
Numerical simulation of a stochastic growth process with exp-OU growth rates
Add a description, image, and links to the ornstein-uhlenbeck topic page so that developers can more easily learn about it.
To associate your repository with the ornstein-uhlenbeck topic, visit your repo's landing page and select "manage topics."