Cellular dynamics are intrinsically noisy, so mechanistic models must incorporate stochasticity if they are to adequately model experimental observations. As well as intrinsic stochasticity in gene ...

This paper considers stochastic models of large battles. Such battle models are said to be stochastically determined if the gross results-for example, the casualties to each side-show low variance in ...

In this paper, we propose a stochastic hybrid delay food chain model with harvesting (under catch-per-unit-effort hypothesis) and jumps in an impulsive polluted environment. First, we study some ...

Impact of Health-Related Quality of Life and Prediagnosis Risk of Major Depressive Disorder on Treatment Choice for Stage I Lung Cancer We aggregated patient-level data from 17 randomized clinical ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. This article dives into the happens-before ...

The whole picture of Mathematical Modeling is systematically and thoroughly explained in this text for undergraduate and graduate students of mathematics, engineering, economics, finance, biology, ...

Simulation research derives new methods for the design, analysis, and optimization of simulation experiments. Research on stochastic models develops and analyzes models of systems with random behavior ...

Rice University researchers have developed a theoretical framework using stochastic analysis to predict menopause timing. By modeling ovarian follicle transitions, the study reveals a universal ...

This paper offers a Bayesian framework for the calibration of financial models using neural stochastic differential equations ...