Latest Articles for Modeling

Examining how mixing affects ocean oscillations and climate dynamics.

Research on parasite interactions may lead to better treatments and solutions.

A new approach to simplify models of complex systems while maintaining performance.

Research into solvable systems reveals new insights into computation and mathematical modeling.

A clear breakdown of continuous logic and its essential theories.

A look at how mathematical models explain vegetation dynamics in challenging environments.

A method to enhance model accuracy by accounting for uncertainty in variables.

Research improves models by addressing uncertainty in Universal Differential Equations.

This article analyzes a model of three species interacting over time and space.

This article discusses methods to sample from complex high-dimensional data more effectively.

An overview of how similarity measures assess brain activity models.

A look into path signatures and their role in stochastic modeling.

A new framework improves agent-based modeling by integrating diverse expert insights.

A look at random variables and Markov chains across various fields.

A look at how biological models work together to reveal system interactions.

Learn how friction affects mechanical systems with constraints.

Learn how to manage uncertainties in modeling for better decision-making.

New models improve estimation methods for ordinary differential equations using observational data.

A new method enhances our ability to model complex biological interactions.

This article analyzes time correlations in random growth, focusing on the inverse-gamma polymer model.

Exploring how independence preserving maps influence random processes and models.

Learn how to create effective visuals for statistical model checks.

This study presents a model to analyze interactions between development and inheritance in organisms.

A new method to simplify simulations in agent-based models by combining similar agents.

MarS leverages generative models to simulate realistic financial market scenarios.

Introducing an efficient method for creating more accurate confidence bands in simulations.

Exploring new methods in event clustering analysis across various fields.

RBNs model how biological systems evolve over time through simple interactions.

A look into how Bratteli diagrams represent complex dynamical systems.

A new model enhances predictions for complex systems affected by random factors.

Learn how agent-based modeling and random numbers aid health research.

An overview of the implicit Euler method and its applications in differential inversion.

A look into methods for handling time series data in scientific research.

Learn how cycloids can maintain efficiency even through process failures.

Exploring the role of symmetry in solving difference equations and their applications.

Exploring how fractional derivatives impact blood production systems.

Learn how FEM tackles complex nonlinear equations in practical scenarios.

A new method refines input estimation for simulation models using only output data.

An exploration of using cut cells in solving complex mathematical equations.

Learn how optimal transport shapes option pricing in finance.