In this chapter, we will explore five commonly used examples in Bayesian inference. Each example is designed to show, step-by-step, how to calculate the posterior ...

1 Department of Electrical Engineering, Eindhoven University of Technology, Eindhoven, Netherlands 2 Department of Engineering, King’s College London, London, United Kingdom Simulation is an ...

## note that when computing the predictive liklihood on test-data, the start point is assumed to be given. see more details in ../../code/util.py ...

Abstract: A core challenge in action recognition from videos is obtaining sufficient training examples to train deep networks. This holds especially for action tasks from non-standard sensors such as ...

Statistical Rethinking: A Bayesian Course with Examples in R and Stan builds your knowledge of and confidence in making inferences from data. Reflecting the need for scripting in today's model-based ...