Join us for our second webinar in the series on DeepPumas, a software that enables AI-embedded nonlinear mixed-effect models. In this webinar, we will present a non-parametric method for fitting the distribution of the random effects in the population using generative machine learning. This method can deal with complex non-linear dependencies between the random effects and can capture even multi-modal distributions. We will show how misspecified random effects distributions can be automatically fixed, leading to better VPCs and simulation performance. 

To accommodate various time zones and schedules, we are excited to announce that this webinar is available at two different times on the same day. Register for the session that best fits your schedule!

• Jan 15, 2025 at 8:00 am CET (Europe)
• Jan 15 2025 at 5:00 pm CET (Europe)

Instructor: Niklas Korsbo, PhD

REGISTER NOW!