New FDA guidance on the use of Bayesian statistics signals a broader shift in accommodating more flexible clinical trial ...
In this work, we implement approximate Bayesian computational methods to improve the design of a wound-healing assay used to quantify cell–cell interactions. This is important as cell–cell ...
This course introduces the theoretical, philosophical, and mathematical foundations of Bayesian Statistical inference. Students will learn to apply this foundational knowledge to real-world data ...
Computational statistics combines mathematical theory, algorithm design and high-performance computing to extract insight from data. It spans simulation-based inference (for example, bootstrap and ...
On Friday the 24th of April 2026, M.Eng. Shanshan Zhang defends her PhD thesis on Understanding Uncertainty in Mental Inference with Bayesian Computational Rationality. The thesis is related to ...
Across modern data-intensive disciplines, the union of numerical computation, statistics, and machine learning has become ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results