WHAT ARE YOU LEARNING?
Recognizing difficult data | To create models | Controlling over-fitting | Eliminating nuisance parameters | Choosing between models | Prediction | Estimate missing data | Nonlinear models | Monte Carlo | Bayes’ theorem
Critical observing and thinking | This is the main purpose of the course
HOW DO YOU LEARN?
Through personal stories | Learning from other people’s mistakes and from your own mistakes. | Learn how a professional “looks” | Visualization, creativity, and new ideas | Think, ask questions and answer them together
Small group: maximum 4 participants | Humor and fun in scientific thinking
YOU WILL RETURN WITH
- An in-depth understanding of what regression is
- The insight into how it can help you further
- A course manual as back-up
- Access to a network of experts
This video (Prior Probabilities, 8 minutes) covers one of the trickiest concepts in Bayesian theory. This way, you can get a good impression of the style of presentation and the mentoring program level. There are a total of 14 short videos (3-8 min) on YouTube. When you feel challenged by this: why don’t you sign up for the mentoring program? Its worth your time and money.
“I would have loved to attend this introduction into Bayesian Statistics when I was at the start of my career as data analist. I highly recommend it for everyone with real data who wants to get the most out of it.”
WHY TO KNOW THIS?
“It took some efforts to make it working, but then it worked beautifully. We discovered features in astronomical object that were unknown at that time. With newer and better satellites all of it was confirmed, in details that we were initially not prepared to believe.”
Do Kester and Romke Bontekoe