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Impulse response functions for nonlinear nonstationary and heterogeneous systems

The R script IRFnnhs.R, which efficiently estimates impulse response functions for environmental systems that are nonlinear, nonstationary, or heterogeneous, based on their input and output time series.

Scripts and results for a series of benchmark tests are also provided, to accompany Kirchner, J.W., Impulse response functions for heterogeneous, nonstationary, and nonlinear systems, estimated by deconvolution and demixing of noisy time series, (Sensors, 2022).

Funding Information:

This work was supported by:
  • ETH Zurich

Related Publications

*Kirchner, J.W., Impulse response functions for heterogeneous, nonstationary, and nonlinear systems, estimated by deconvolution and demixing of noisy time series, Sensors, 2022.

Citation:

Kirchner, James W. (2022). Impulse response functions for nonlinear nonstationary and heterogeneous systems. EnviDat. doi:10.16904/envidat.312.

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Data and Resources

Metadata

Field Values
DOI
(Publication pending:10.16904/envidat.312)
Publication State Publication Pending
Authors
  • Email: kirchnerfoo(at)ethz.ch ORCID: 0000-0001-6577-3619 Given Name: James W. Family Name: Kirchner Affiliation: ETHZ Additional Affiliation : WSL Additional Affiliation : University of California, Berkeley DataCRediT: Software, Publication
Contact Person Given Name: James W. Family Name: Kirchner Email: kirchnerfoo(at)ethz.ch Affiliation: ETHZ ORCID: 0000-0001-6577-3619
Subtitles
Publication Publisher: EnviDat Year: 2022
Dates
  • Type: Created Date: 2024-04-24
Version 1.2
Type software
General Type Software
Language English
Location Switzerland
Content License Creative Commons Attribution Share-Alike (CC-BY-SA)    [Open Data]
Last Updated April 25, 2022, 8:44 AM (UTC+00:00)
Created April 24, 2022, 6:43 PM (UTC+00:00)