A Time-Scaled ETAS (Epidemic Type Aftershock Sequence)) Model based on the works of Y. Ogata and J. Zhuang post time-scaling as per the works of J. F. Lawless, T. Duchesne

Software Architecture Modeling for System of Systems

Java implementation of the absolute return model described in the paper by Gontis et al. (Physica A, 2010).

This repository presents an extension of the POMO (Policy Optimization with Multiple Optima) framework introduced by Kwon et al. (NeurIPS 2020), adapted and enhanced to tackle the Stochastic Capacitated Vehicle Routing Problem with Service Times and Deadlines (SCVRPSTD)

A Dynamic Pricing framework integrating Monte Carlo simulations for demand uncertainty analysis and Response Surface Methodology (RSM) to optimize pricing strategies and maximize revenue.

The final project for the course "Introduction to Stochastic Modeling" - Autumn 2024

Proyek ini menganalisis kinerja sistem antrian di Kantin GKU‑2 ITERA menggunakan pendekatan teori antrian (M/M/1 & M/M/2) untuk memahami pola kedatangan pelanggan, waktu pelayanan, dan dampaknya terhadap durasi tunggu

A Simple Algorithm for Converting Random Number Generator Outputs to Universal Distributions to Aid Teaching and Research in Modern Physical Chemistry

This repository contains the code and supporting data for the Master's Thesis in Naval and Ocean Engineering, developed at Instituto Superior Técnico (IST)

Hydrological Model (Berkeley). This project implements the underground (stochastic) hydrological model (in Python) that was developed during my postdoctoral tenure at the Dept. of Earth & Planetary Science, U. C. Berkeley, (2013 - 2016).

This repository contains code and data for the study: "Neoantigens and Stochastic Fluctuations Regulate T Cell Proliferation in Primary and Metastatic M

Formal modeling with Hybrid Stochastic Representations

Pure-Python library of heavy-tailed probability distributions (Pareto, Burr, LogNormal, etc.) built from first principles.

Models that are, or will be, featured on Physics of Risk blog.

Repository for Pachter Lab Biophysics

Stock price simulation based on Monte Carlo method with varying models (e.g. GBM).

Deep Generative Adversarial Kinetic Monte Carlo

This repository contains the code used for the project "Stochastic modeling of clonal memory effects on dividing and differentiating cells".

🎲 A portfolio of stochastic modeling projects in R for the Stochastic Modeling course at ISCTE. Includes MCMC, Acceptance-Rejection method, and Discrete Event Simulation of a hospital system.