4 papers
Multi-objective Bayesian inference in an agent-based model of zebrafish patterns via topological data analysis
Yue Liu, Alexandria Volkening
Spatial patterns arising from the collective behavior of individual agents are present across biological systems. While agent-based models offer a natural framework for uncovering…
Enhancing generalizability of model discovery across parameter space with multi-experiment equation learning (ME-EQL)
Maria-Veronica Ciocanel, John T. Nardini, Kevin B. Flores +3
Agent-based modeling (ABM) is a powerful tool for understanding self-organizing biological systems, but it is computationally intensive and often not analytically tractable. Equati…
Quantifying topological features and irregularities in zebrafish patterns using the sweeping-plane filtration
Nour Khoudari, John Nardini, Alexandria Volkening
Complex patterns emerge across a wide range of biological systems. While such patterns often exhibit remarkable robustness, variation and irregularity exist at multiple scales and…
How time and pollster history affect U.S. election forecasts under a compartmental modeling approach
Ryan Branstetter, Samuel Chian, Joseph Cromp +8
In the months leading up to political elections in the United States, forecasts are widespread and take on multiple forms, including projections of what party will win the popular…