Bayesian Information Design and Mechanism Optimization is an interdisciplinary field that synthesises insights from economics, statistics, and game theory to address challenges of asymmetric ...

Ideally, specific treatment for a cancer patient is decided by a multidisciplinary tumor board, integrating prior clinical experience, published data, and patient-specific factors to develop a ...

Visual stimuli in the real world are often highly predictable on the basis of spatial context, transition probabilities and prior information from previous glances. Normative Bayesian models dictate ...

In my practice, I find most people involved with advanced analytics, such as predictive, data science, and ML, are familiar with the name Bayes, and can even reproduce the simple theorem below. Still, ...

This course offers a rigorous yet practical exploration of Bayesian reasoning for data-driven inference and decision-making. Students will gain a deep understanding of probabilistic modeling, and ...

Incrementality testing in Google Ads is suddenly within reach for far more advertisers than before. Google has lowered the barriers to running these tests, making lift measurement possible even ...