Latest Articles for Modeling

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.

A look into height-offset variables and their role in gradient models.

Exploring how bacteria navigate fluids using mathematical models and methods.

A look into double emulators and their role in enhancing simulator performance.

A look at how scientists model the behavior of gravity currents.

A look into modeling complex systems affected by randomness.

Learn how linear compartmental models track movement through various systems.

Learn how agent-based modeling helps study interactions in complex systems.

AutoURDF simplifies robot modeling using visual data and automation.

A new method combines neural networks with BSDEs for better financial insights.

Explore how particle movements reveal fascinating behaviors in crowded spaces.

Discover self-test loss functions that improve model accuracy in science and engineering.

Discover how gradients improve neuron modeling in neuroscience.

Discover how ensemble Kalman filters improve predictions in chaotic systems.

A lighthearted look at complex particle models in math and physics.

Explore the power of reflected McKean-Vlasov SDEs in complex systems.