networked, stochastic SIRD epidemiological model with Bayesian parameter estimation and policy scenario comparison tools

Repository for Pachter Lab Biophysics

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).

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

Source files used to generate Physics of Risk website.

A decision model build using probability and stochastic process knowledge to mitigate the revenue loss of a company due to unfavorable fluctuations in international Dollar value

Software for generating one-day synthetic solar irradiance sequences at a minimum 60-minute time resolution.

Code repository for the paper "Stochastic 3D Modelling of Discrete Sediment Bodies for Geotechnical Applications" by G.H. Erharter, F. Tschuchnigg and G. Poscher

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

Queueing Theory and Markov Chain cases, where Stochastic Modeling is applied

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

Financial market simulations combining stochastic models (GBM, Heston) with agent-based modeling. Explores price dynamics through different trader behaviors - fundamentalists, chartists, noise traders, contrarians, and institutional players. Built with Python for anyone interested in quantitative finance and computational economics.

PSumSim: A Simulator for Partial-Sum Quantization in Analog Matrix-Vector Multipliers

Deep Generative Adversarial Kinetic Monte Carlo

🎲 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.

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

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

Software Architecture Modeling for System of Systems

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)