As clinical drug development becomes more complex and resource-intensive, the FDA’s recent draft guidance on the use of Bayesian statistical methods in clinical trials signals a move toward more ...

Food System Innovations has launched an open-source Food Intelligence Lab to use AI to create better-tasting alternative ...

Asteroid Vesta’s battered surface is far from static, it quietly preserves the memory of past collapses, impacts, and ...

Stats expert Tim Swartz uses 'spatiotemporal data' to figure out which throw-ins, corners and free kicks lead to wins ...

Machine learning is the ability of a machine to improve its performance based on previous results. Machine learning methods enable computers to learn without being explicitly programmed and have ...

Fine-scale exogenous attention within the foveola selectively enhances contrast gain at low-to-mid spatial frequencies while increasing response gain across a broad spatial frequency range.

End-to-end A/B test analysis for a (fictional) streaming subscription product. Demonstrates the full product data scientist workflow: experiment design, data quality, frequentist & Bayesian analysis, ...

Introduction In 2021, globally, cardiometabolic diseases (CMDs) accounted for 35% of the 1.73 billion disability-adjusted life years (DALYs) attributed to non-communicable diseases. The Healthy Life ...

Welcome to the Awesome Amortized Inference repository! This is a curated list of resources, including reviews, software, papers, and other resources related to amortized inference. Feel free to ...

Language understanding is inherently multimodal. Whether we read, listen, or converse, our brains go beyond words to draw on visual scenes, prosody, prior ...

2 College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, China Objective To demonstrate an application of Bayesian model averaging (BMA) with generalised additive ...

Find out more about undergraduate study at the School of Electronic Engineering and Computer Science.