109 citations · 443 across the 45 of their papers we have counts for
4 papers · 1 filter
A Data-Driven Statistical-Stochastic Surrogate Modeling Strategy for Complex Nonlinear Non-stationary Dynamics
Di Qi, John Harlim
We propose a statistical-stochastic surrogate modeling approach to predict the response of the mean and variance statistics under various initial conditions and external forcing pe…
Parameter estimation with data-driven nonparametric likelihood functions
Shixiao W. Jiang, John Harlim
In this paper, we consider a surrogate modeling approach using a data-driven nonparametric likelihood function constructed on a manifold on which the data lie (or to which they are…
Data-Driven Computational Methods: Parameter and Operator Estimations (Chapter 1)
John Harlim
Modern scientific computational methods are undergoing a transformative change; big data and statistical learning methods now have the potential to outperform the classical first-p…
Probabilistic prediction of the AL index with the diffusion forecasting model
Dimitrios Giannakis, Matina Gkioulidou, John Harlim
We propose a nonparametric approach for probabilistic prediction of the AL index trained with AL and solar wind () data. Our framework relies on the diffusion forecasting te…