[R-sig-eco] Online Course – Latent Class, Markov & Hidden Markov Models in R (2–5 Sept)

[i@io m@iii@g oii phys@ii@-courses@org]

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
 
 

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Carlo Pecoraro, Ph.D


Physalia-courses DIRECTOR

info using physalia-courses.org

mobile: +49 17645230846

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