Nonlinear Time Series Analysis (Part I) with Bernard Ricca, Lyda Hill Institute for Human Resilience, University of Colorado, Colorado Springs
https://instats.org/seminar/nonlinear-time-series-analysis-part-i?utm_source=dresa
Description:
This intensive four-day workshop provides a comprehensive introduction to nonlinear time series analysis, focusing on state space reconstruction and identifying evidence of nonlinear dynamics, using the R software. Participants will develop skills to manipulate, visualize, and create nonlinear models of time series data, enhancing their research in any field that works with time series data.
Start: Tuesday, 11 March 2025 @ 03:00
End: Friday, 14 March 2025 @ 08:00
Timezone: Sydney
Learning Objectives:
Topics Covered
Time Series Concepts , Significance Across Fields , Nonlinearities , Graphical Representations , State Space Reconstruction , Embedding Data , Characterizing Attractors , Recurrences , Recurrence Quantification Analysis , Entropy , Tests of nonlinearity , Tests of Stationarity , Changepoints , Singular Spectrum Analysis , Separating Signal from Noise , Impact of Noise on State Space Reconstruction , Bootstrapping , Surrogate Time Series Data , Permutation-based Boostrapping , Granger Causality , Convergent cross mapping , Tests of dynamics
- Open to all
Organiser: Bernard Ricca, Lyda Hill Institute for Human Resilience, University of Colorado, Colorado Springs
Contact: info@instats.org
Host institution: Instats
