Hi everyone
Last change for the new 4-day seminar, Nonlinear Time Series Analyses (Part II) <https://instats.org/seminar/nonlinear-time-series-analyses-part-ii>, running April 21?24, led by Professor Bernard Ricca. This more advanced workshop, part of our two-seminar series on Nonlinear Time Series Analysis, builds on foundational knowledge in R to explore more cutting-edge methods. Designed for PhD students, academics, and professional researchers, the seminar features live Zoom sessions, downloadable materials with 30-day video access, and an Expert-moderated Q&A forum, along with an Official Instats Certificate of Completion. You?ll learn to implement sophisticated techniques?including phenomenological modeling, Sparse Identification of Nonlinear Dynamics (SINDy), dynamic mode decomposition, multilevel and dynamical systems analysis, hidden Markov models, and an introduction to relevant machine learning methods?to extract actionable insights from complex, time-dependent data.
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
Professor and Director
Institute for Statistical and Data Science
instats.org <http://instats.org>
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