Nonlinear Time Series Analyses Part II (Online)
Date:
21/04/2025 - 24/04/2025
Organised by:
Instats Inc.
Presenter:
Dr. Bernard Ricca
Level:
Entry (no or almost no prior knowledge)
Contact:
Marc Monit
marc@instats.org
Venue: Online
Description:
This four-day seminar delves into phenomenological modeling of time series, focusing on nonlinear dynamic methodologies such as sparse identification of nonlinear dynamics, dynamic mode decomposition, and hidden Markov models, all implemented using the R programming language. Participants will enhance their research skills by learning to dynamically model, analyze, and interpret time-dependent data, ultimately enabling them to conduct innovative and robust research across various fields.
Cost:
USD245-USD511
Website and registration:
Region:
International
Keywords:
Quantitative Data Handling and Data Analysis
Related publications and presentations from our eprints archive:
Quantitative Data Handling and Data Analysis