RandomProcesses.jl

Introduction

RandomProcesses.jl is a package for simulling stochastics processes in Julia in a easy way.

At the moment the package has 8 functions that simulling the following stochastic processes:

SARMA
Ramdom Walk
Weiner
Martingale
Galton Watson
Markov Chain
Poisson
Neural (simuling the results of neural network)

Exemples

Importing RandomProcesses and PyPlot

using RandomProcesses, PyPlot, Distributions

Random Walk

for _ in 1:5
  plot(RandomWalk())
end

Poisson Process

for _ in 1:5
  plot(PoissonProcess())
end

Neural Process

function f(x)
    return exp.(x)./(1 .+ exp.(x))
end

function g(x)
    return sum(x)
end

for _ in 1:5
    plot(NeuralProcess(Activate = [f, g], Len = 30))
end

Coments

Almost functions need the package "Distribution" for execute.
You has that declare a vector of functions in each leyaer for neural process execute.
This is my first package, please have pacience. Send criticisms and suggestions to joaquimacbermudes@gmail.com. I would also like to know out of curiosity in which projects the patent is being used.