Diffusion process
id:
diffusion-process-196-5472304
title:
Diffusion process
text:
In probability theory and statistics, diffusion processes are a class of continuous-time Markov process with almost surely continuous sample paths. Diffusion process is stochastic in nature and hence is used to model many real-life stochastic systems. Brownian motion, reflected Brownian motion and Ornstein–Uhlenbeck processes are examples of diffusion processes. It is used heavily in statistical physics, statistical analysis, information theory, data science, neural networks, finance and marketi
brand slug:
wiki
category slug:
encyclopedia
description:
Solution to a stochastic differential equation
original url:
https://en.wikipedia.org/wiki/Diffusion_process
date created:
date modified:
2024-03-13T03:23:02Z
main entity:
{"identifier":"Q5275442","url":"https://www.wikidata.org/entity/Q5275442"}
image:
fields total:
13
integrity:
14