Kinetic Monte Carlo of Systems (KMCOS): lattice based kinetic Monte Carlo with a python front-end and Fortran back-end.

MaxEnt is a Matlab toolbox 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

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.

Stochastic OZone anlyses

Summary for MSE Module Stochastic Modelling

SIR and SIS Model of an Outbreak

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).

*Stochastic Modelling of Vector-Borne Diseases with Household Structures* Thesis submitted for the degree of Honours of Mathematical Sciences in Applied Mathematics at The University of Adelaide.

A new implementation of a well-known stochastic model for carcinogenesis, augmented with competition dynamics and spatial structuring.

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.

This repository includes all codes that were used to model or optimize models made for p53P and p21 after irradiation damage