networked, stochastic SIRD epidemiological model with Bayesian parameter estimation and policy scenario comparison tools
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Updated
Jul 25, 2023 - Python
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
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.
🎲 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.
Deep Generative Adversarial Kinetic Monte Carlo
PSumSim: A Simulator for Partial-Sum Quantization in Analog Matrix-Vector Multipliers
Software Architecture Modeling for System of Systems
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).
The final project for the course "Introduction to Stochastic Modeling" - Autumn 2024
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)
Formal modeling with Hybrid Stochastic Representations
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