thesis

Probabilistic Inference When the Model is Wrong

By simplifying complex real-world phenomena, probabilistic methods have proven able to accelerate applications in discovery and design. However, classical theory often evaluates models under the assumption that they are perfect representations of the …

Scalable methods for Bayesian online changepoint detection