2 citations · 4 across the 7 of their papers we have counts for
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nlin.CD2012★ 2 cited
Quantifying Chaos: A tale of two maps
Reason L. Machete
In many applications, there is a desire to determine if the dynamics of interest are chaotic or not. Since positive Lyapunov exponents are a signature for chaos, they are often use…
nlin.CD2012★ 2 cited
Initial Distribution Spread: A density forecasting approach
Reason L. Machete, Irene M. Moroz
Ensemble forecasting of nonlinear systems involves the use of a model to run forward a discrete ensemble (or set) of initial states. Data assimilation techniques tend to focus on e…
nlin.CD2012
Early Warning with Calibrated and Sharper Probabilistic Forecasts
Reason Lesego Machete
Given a nonlinear model, a probabilistic forecast may be obtained by Monte Carlo simulations. At a given forecast horizon, Monte Carlo simulations yield sets of discrete forecasts,…