143 citations · 193 across the 5 of their papers we have counts for
5 papers
A comparison of data-driven approaches to build low-dimensional ocean models
Niraj Agarwal, Dmitri Kondrashov, Peter Dueben +2
We present a comprehensive inter-comparison of linear regression (LR), stochastic, and deep-learning approaches for reduced-order statistical emulation of ocean circulation. The re…
Reconstructing Extreme Space Weather from Planet Hosting Stars
V. S. Airapetian, V. Adibekyan, M. Ansdell +80
The field of exoplanetary science is making rapid progress both in statistical studies of exoplanet properties as well as in individual characterization. As space missions provide…
Data-adaptive harmonic spectra and multilayer Stuart-Landau models
Mickael D. Chekroun, Dmitri Kondrashov
Harmonic decompositions of multivariate time series are considered for which we adopt an integral operator approach with periodic semigroup kernels. Spectral decomposition theorems…
Singular Spectrum Analysis for astronomical time series: constructing a parsimonious hypothesis test
G. Greco, D. Kondrashov, S. Kobayashi +7
We present a data-adaptive spectral method - Monte Carlo Singular Spectrum Analysis (MC-SSA) - and its modification to tackle astrophysical problems. Through numerical simulations…
Data-driven non-Markovian closure models
Dmitri Kondrashov, Mickaël D. Chekroun, Michael Ghil
This paper has two interrelated foci: (i) obtaining stable and efficient data-driven closure models by using a multivariate time series of partial observations from a large-dimensi…