This repository contains the code and analysis related to a stochastic model for understanding the dynamics of early HIV-1 infection, as described in the paper "Stochastic Modeling of Early HIV-1 ...

Stochastic modeling was used to predict nitrogen dioxide and fine particles [particles collected with an upper 50% cut point of 2.5 μm aerodynamic diameter ( PM2.5)] levels at 1,669 addresses of the ...

Characterizing the variability of the extragalactic sources used for calibration in the Atacama Large Millimeter/submillimeter Array (ALMA) is key to assess the flux scale uncertainty of science ...

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 ...

This project aims at developing mathematical statistics and probability theory to provide methodologies for modeling and analysis of complex random systems. Statistical methods enable analysis of ...

We propose a stochastic model for the maximal production of photovoltaic (PV) power on a daily basis, based on data from three transmission system operators in Germany. We apply sun intensity as a ...

Stochastic Environmental Research and Risk Assessment publishes research papers, reviews and technical notes on stochastic and probabilistic approaches to environmental sciences and engineering, ...