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

Repository for Pachter Lab Biophysics

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

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).

Source files used to generate Physics of Risk website.

美国大学生数学建模竞赛：B题 Journey to the Rescue: Submersibles in the Deep Sea

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.

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

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

Pricing energy options (focus on German power) with MC and jump-diffusion mean-reversion model, including stochastic volatility, seasonality and regime filtering. Model parameters are calibrated on historical ENTSO-e data.

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

MIDAS (Minimax-based Interactive Dynamic Assessment Simulation): A professional intelligence suite for strategic conflict and resilience modeling.

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.

Forecast short-horizon catalog attention on item graphs using CTMC + Wasserstein drift–diffusion (Retailrocket).

DRIFT (Drug-target Response Integrated Flux Trajectory) is a multi-scale stochastic framework designed to bridge the gap between molecular binding events and systemic metabolic phenotypes.

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

Deep Generative Adversarial Kinetic Monte Carlo