[R-sig-genetics] Online course: Nonlinear Time Series Analysis

[mzyphur m@iii@g oii i@st@ts@org]

Hi everyone

Instats is excited to offer a two-seminar series, Nonlinear Time Series Analysis: Introductory and Advanced <https://instats.org/structuredcourse/nonlinear-time-series-analysis2>, led by professor Bernard Ricca. Part I <https://instats.org/seminar/nonlinear-time-series-analysis-part-i> runs from March 10–13 and provides a foundational introduction to nonlinear dynamics—teaching you how to reconstruct state spaces, conduct phase space analysis, and identify chaos using R. Part II <https://instats.org/seminar/nonlinear-time-series-analyses-part-ii>, running from April 21–24, builds on these skills with advanced techniques like sparse identification of nonlinear dynamics (SINDy), dynamic mode decomposition (DMD), and hidden Markov models (HMM) for data-driven time series modeling. Designed for PhD students, professors, and professional researchers, this series will expand your analytical toolkit and empower you to uncover complex genetic patterns that traditional linear methods might miss.

Sign up today <https://instats.org/structuredcourse/nonlinear-time-series-analysis2> 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]]