24 citations · 50 across the 11 of their papers we have counts for
12 papers
Computation of random time-shift distributions for stochastic population models
Dylan Morris, John Maclean, Andrew J. Black
Even in large systems, the effect of noise arising from when populations are initially small can persist to be measurable on the macroscale. A deterministic approximation to a stoc…
Wide-scale Monitoring of Satellite Lifetimes: Pitfalls and a Benchmark Dataset
David P. Shorten, Yang Yang, John Maclean +1
An important task within the broader goal of Space Situational Awareness (SSA) is to observe changes in the orbits of satellites, where the data spans thousands of objects over lon…
Adaptively detect and accurately resolve macro-scale shocks in an efficient Equation-Free multiscale simulation
John Maclean, J. E. Bunder, I. G. Kevrekidis +1
The Equation-Free approach to efficient multiscale numerical computation marries trusted micro-scale simulations to a framework for numerical macro-scale reduction -- the patch dyn…
Model and Data Reduction for Data Assimilation: Particle Filters Employing Projected Forecasts and Data with Application to a Shallow Water Model
Aishah Albarakati, Marko Budišić, Rose Crocker +6
The understanding of nonlinear, high dimensional flows, e.g, atmospheric and ocean flows, is critical to address the impacts of global climate change. Data Assimilation techniques…
A surrogate-based approach to nonlinear, non-Gaussian joint state-parameter data assimilation
John Maclean, Elaine T Spiller
Many recent advances in sequential assimilation of data into nonlinear high-dimensional models are modifications to particle filters which employ efficient searches of a high-dimen…
A multiscale scheme accurately simulates macroscale shocks in an equation-free framework
John Maclean, J. E. Bunder, A. J. Roberts +1
Scientists and engineers often create accurate, trustworthy, computational simulation schemes - but all too often these are too computationally expensive to execute over the time o…