Statistical Methods, Applications & Computing Group
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- gmwm Public
Generalized Method of Wavelet Moments (GMWM) is an estimation technique for the parameters of time series models. It uses the wavelet variance in a moment matching approach that makes it particularly suitable for the estimation of certain state-space models.
SMAC-Group/gmwm’s past year of commit activity - course_gmwm Public template
📈 Source repository for the course: "Introduction to the GMWM with R" : https://gmwm.netlify.com/
SMAC-Group/course_gmwm’s past year of commit activity - gmwmx2 Public
The gmwmx2 R package implements the Generalized Method of Wavelet Moments with Exogenous Inputs estimator (GMWMX) presented in Voirol, L., Xu, H., Zhang, Y., Insolia, L., Molinari, R. and Guerrier, S. (2024)
SMAC-Group/gmwmx2’s past year of commit activity - app_velocities_gmwmx_paper Public
Shiny app representing the estimated velocities from GNSS position time series using the GMWMX estimator
SMAC-Group/app_velocities_gmwmx_paper’s past year of commit activity - course_data_analytics Public
💊 Source repository for the website of the class "Modelling and Data Analysis for Pharmaceutical Science" given at Unviersity of Geneva, Spring 2022 and Spring 2023
SMAC-Group/course_data_analytics’s past year of commit activity