mvarbox
mVARbox is a Matlab toolbox for uni/multivariate data series analysis in both time/space and frequency domains, with focus on mutivariate autoregressive (VAR) models
Science Score: 67.0%
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✓DOI references
Found 7 DOI reference(s) in README -
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Low similarity (8.4%) to scientific vocabulary
Keywords
Repository
mVARbox is a Matlab toolbox for uni/multivariate data series analysis in both time/space and frequency domains, with focus on mutivariate autoregressive (VAR) models
Basic Info
- Host: GitHub
- Owner: arya-upm
- License: mit
- Language: MATLAB
- Default Branch: main
- Homepage: https://mvarbox.readthedocs.io
- Size: 32.6 MB
Statistics
- Stars: 7
- Watchers: 1
- Forks: 0
- Open Issues: 0
- Releases: 1
Topics
Metadata Files
README.md
mVARbox is a Matlab toolbox for uni/multivariate data series analysis in both time and frequency domains, with special focus on multivariate autoregressive (VAR) models.
You can find a detailed description of this repository together with several tutorial at https://mvarbox.readthedocs.io.
List of authors and maintainers
List of contributors
- Mohanad Elagamy (orcid)
- Luis Mora de la Cruz
Related publications
Gallego-Castillo, C.; Cuerva-Tejero, A.; Elagamy, M.; Lopez-Garcia, O. & Avila-Sanchez, S. A tutorial on reproducing a predefined autocovariance function through AR models: Application to stationary homogeneous isotropic turbulence. Stochastic Environmental Research and Risk Assessment, 2021, 36, 2711-2736. DOI: 10.1007/s00477-021-02156-0
Gallego-Castillo, C.; Elagamy, M.; Cuerva-Tejero, A.; Lopez-Garcia, O. & Avila, S. Synthesis of realistic non-homogeneous non-Gaussian turbulent wind fields Journal of Physics: Conference Series, IOP Publishing, 2024, 2767, 052019. DOI: 10.1088/1742-6596/2767/5/052019
Elagamy, M.; Gallego-Castillo, C.; Cuerva-Tejero, A.; Lopez-Garcia, O. & Avila-Sanchez, S. Eigenanalysis of vector autoregressive model for optimal fitting of a predefined cross power spectral density matrix: Application to numeric generation of stationary homogeneous isotropic/anisotropic turbulent wind fields. Journal of Wind Engineering and Industrial Aerodynamics, 2023, 238, 105420. DOI: 10.1016/j.jweia.2023.105420
Elagamy, M.; Gallego-Castillo, C.; Cuerva-Tejero, A.; Lopez-Garcia, O. & Avila-Sanchez, S. Optimal autoregressive models for synthetic generation of turbulence. Implications of reproducing the spectrum or the autocovariance function. 17th European Academy of Wind Energy (EWEA) PhD Seminar on Wind Energy, Porto (Portugal), 2021. (proceedings)
Luis Mora de la Cruz, Spectral estimation methods from finite time series: application to wind energy related variables. ETSIAE, Universidad Politécnica de Madrid, Master thesis, 2023. (link)
Owner
- Name: arya-upm
- Login: arya-upm
- Kind: organization
- Repositories: 1
- Profile: https://github.com/arya-upm
Citation (CITATION.cff)
cff-version: 1.0.0 message: "If you use this software, please cite it as below." authors: - family-names: "Gallego-Castillo" given-names: "Cristobal" orcid: "https://orcid.org/0000-0002-8249-5179" - family-names: "Cuerva-Tejero" given-names: "Alvaro" orcid: "https://orcid.org/0000-0002-1690-1634" - family-names: "Lopez-Garcia" given-names: "Oscar" orcid: "https://orcid.org/0000-0002-0209-2469" title: "mVARbox" version: 1.0.0 date-released: 2024-02-20 url: "https://github.com/arya-upm/mVARbox/"
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- Watch event: 1
Last Year
- Watch event: 1