Dear all,
We’re pleased to announce our upcoming online course: Latent Class, Markov and Hidden Markov Models with Applications in R Dates: 2–5 September Time: 2–5 PM Berlin time daily Instructor: Prof. Fulvia Pennoni (University of Milano-Bicocca, Italy) Course website: [ https://www.physalia-courses.org/courses-workshops/latent-class-markov-and-hidden-markov-models-with-applications-in-r/ ]( https://www.physalia-courses.org/courses-workshops/latent-class-markov-and-hidden-markov-models-with-applications-in-r/ ) This course will introduce the theory and practical applications of latent class, Markov, and hidden Markov models, particularly for the analysis of longitudinal data. It includes interactive hands-on sessions using R (MultiLCIRT and LMest libraries), and is suitable for researchers, students, and practitioners—even without a background in probability. Topics covered include: Discrete latent variable models Latent class models with covariates Markov and hidden Markov models (with missing data handling) Model selection and uncertainty estimation Real-world case studies and exercises Best regards, Carlo -------------------- Carlo Pecoraro, Ph.D Physalia-courses DIRECTOR i...@physalia-courses.org mobile: +49 17645230846 [ Bluesky ]( https://bsky.app/profile/physaliacourses.bsky.social ) [ Linkedin ]( https://www.linkedin.com/in/physalia-courses-a64418127/ ) [[alternative HTML version deleted]] _______________________________________________ R-sig-teaching@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-sig-teaching
