He thinks AI is a bubble about to burst, a false idol, and outright fraudulent in its very name. “I think the biggest ...

Stochastic modelling of growth dynamics addresses how systems that evolve over time—ranging from biological populations to material production and demographic records—are influenced by inherent ...

The Nature Index 2025 Research Leaders — previously known as Annual Tables — reveal the leading institutions and countries/territories in the natural and health sciences, according to their output in ...

🎲 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.

Traffic congestion and its inherent stochasticity continue to challenge urban mobility worldwide. To address this, researchers have introduced a groundbreaking framework for modeling the Stochastic ...

A systematic withdrawal plan refers to monthly withdrawals from an appreciating fund, especially to provide retirement income. This study proposes a stochastic algorithm that outputs the initial ...

Abstract: This article presents a study of modeling of predator-prey interactions based on a three-component model of toxic and nontoxic phytoplankton and zooplankton. The paper discusses the working ...

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 ...

First of all, the problem scope and the theoretical foundation are presented. The considered ISC network is a layered network in which nodes represent points of interactions between the two layers.