Hi everyone Instats is excited to offer the advanced seminar, Nonlinear Time Series Analyses (Part II) <https://instats.org/seminar/nonlinear-time-series-analyses-part-ii>, running April 21–24 withpProfessor Bernard Ricca. This 4-day workshop dives into cutting-edge methodologies for analyzing time-dependent data using R. Designed for PhD students, academics, and professional researchers, the seminar covers advanced topics such as sparse identification of nonlinear dynamics (SINDy), dynamic mode decomposition, hidden Markov models, multilevel modeling, and dynamical systems analysis. Participants will also explore introductory machine learning techniques for nonlinear time series, engage with real-world case studies, and learn best practices for modeling and interpreting complex systems under a nonlinear state space framework.
Sign up today <https://instats.org/seminar/nonlinear-time-series-analyses-part-ii> to secure your spot, and feel free to share this opportunity with colleagues and students who might benefit! Best wishes Michael Zyphur Director Institute for Statistical and Data Science instats.org <http://instats.org> Follow Instats: Bluesky <https://bsky.app/profile/instats.bsky.social>_Linkedin <https://linkedin.com/company/instats1>_Facebook <https://www.facebook.com/InstatsTraining/> [[alternative HTML version deleted]] _______________________________________________ R-sig-ecology mailing list R-sig-ecology@r-project.org https://stat.ethz.ch/mailman/listinfo/r-sig-ecology
