Kinetic Monte Carlo of Systems (KMCOS): lattice based kinetic Monte Carlo with a python front-end and Fortran back-end.
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Updated
Nov 1, 2023 - Fortran
Kinetic Monte Carlo of Systems (KMCOS): lattice based kinetic Monte Carlo with a python front-end and Fortran back-end.
MaxEnt is an easy-to-run code for the calculation of maximum entropy distributions and the corresponding statistical samples from a given set of known information.
The Coastal version of the Stochastic Multcloud model
Stochastic OZone anlyses
Quantification of risk metrics (VaR, ES, Loss Distribution, Hedging Error) via Monte Carlo simulation of stochastic models (GBM, Heston) with parameter estimation (MLE) on historical data.
Summary for MSE Module Stochastic Modelling
Data, source code and scripts for BIORXIV/2019/643585v3
IM61011 - Stochastic Modelling course offered by the Industrial and Systems Engineering Department, IIT Kgp
Predator-prey population model with intervention analysis techniques. Completed during third year of my Bachelor's degree (2019).
Conducting Monte Carlo simulation of stochastic models (GBM, Merton Jump Diffusion Model) for the forecasting of stock positions. Serves as a "prelude" to the heston repository.
A new implementation of a well-known stochastic model for carcinogenesis, augmented with competition dynamics and spatial structuring.
SIR and SIS Model of an Outbreak
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