Dear all,
we have the last 4 seats available for our upcoming course: Bayesian Data Analysis: Theory & Practice
Dates: 12-16 February 2024
Location: ONLINE
What Sets Us Apart:
Immerse yourself in the world of Bayesian thinking with explicit models of the data-generating process.
Elevate your understanding through engaging hands-on exercises and real-world examples.
Expand your horizons with applied Bayes and explore a variety of real-world use cases.
Dive into the intricacies of Bayesian regression models for diverse applications.
Course Goals: By the course's conclusion, you will:
Master the fundamentals of Bayesian inference.
Skillfully fit various regression models with distinct likelihood functions.
Navigate robust and distributional models with confidence.
Select priors using prior predictive checks.
Evaluate model accuracy through posterior predictive checks.
Articulate posterior distributions as effect sizes and compelling figures.
Course Overview:
Monday: Unveiling the basics of Bayesian inference, generative-process models.
Tuesday: Delving into MCMC methods, parameter inference, and real-world applications.
Wednesday: Model checking, exploring generalized linear models.
Thursday: Navigating Bayesian model comparison, multi-level modeling.
Friday: Embracing good practices, effectively reporting results, and addressing audience-driven topics.
Best regards,
Carlo
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Carlo Pecoraro, Ph.D
Physalia-courses DIRECTOR
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mobile: +49 17645230846
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