Python code of commonly used stochastic models for Monte-Carlo simulations
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Updated
Jun 4, 2022 - Python
Python code of commonly used stochastic models for Monte-Carlo simulations
Home Range for marine animals using dynamic brownian bridge movement models
A collection of numerical implementations for the simulation of well-known stochastic processes on MATLAB.
The aim of this project is to compare different pricing methods for an Asian option. Comparisons will be made in terms of MSE, CPU time and (empirical) variance of estimators.
The LoopMaker app lets you easily create random 3D loops with the click of a button.
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