**Apologies for cross-posting**
Dear colleagues,
Is your research pushing the boundaries of traditional statistical methods? Are you working with complex models but limited samples? Do you wish you could incorporate prior knowledge directly into your analyses? Or perhaps you are seeking richer insights beyond simple point estimates of your parameters? Bayesian statistical modeling can offer solutions to these and other challenges - discover how with GESIS online workshops this spring:
* 19. - 21.03. Introduction to Bayesian Statisticshttps://tinyurl.com/3-25-intro-bayesian-statistics is designed to help you take the first steps and covers the essentials of Bayesian inference and modeling using R. * 20. - 22.05. Advanced Bayesian Statistical Modeling in R and Stanhttps://tinyurl.com/5-25-adv-bayesian-statistics focuses on custom model building for complex data structures, taking you beyond pre-packaged solutions.
For more details or to register, please visit our websitehttps://training.gesis.org/ or email alisa.remizova@gesis.orgmailto:alisa.remizova@gesis.org. We would also appreciate your help in spreading the word about this announcement.
May your chains always converge to the target distribution,
Your GESIS Training Team
--- Alisa Remizova alisa.remizova@gesis.orgmailto:alisa.remizova@gesis.org
Scientific Coordinator of GESIS Workshops GESIS - Leibniz Institute for the Social Sciences https://training.gesis.org/