AM, the percentage of female passengers at Station A was 3 points higher than last year. While it may seem like a small ...

A study of nearly 2,000 adults in rural Ghana finds that older age, male sex and higher body mass index are the strongest ...

Traditional marketing mix models struggle with paid search. Google's Meridian uses geo-level data and search signals to ...

An integrated analysis of proteomic data from nearly 90,000 people, single-cell sequencing and molecular docking has identified seven high-confidence drug targets for premature ovarian insufficiency, ...

The Frontier of Avian Observation Data and Probabilistic Machine Learning—From Hierarchical Bayes to Causal, Geometric, ...

Self-motion perception relies on the integration of visual optic flow and vestibular signals, yet these cues are often noisy, unreliable, or mutually inconsistent. A central challenge is therefore not ...

Scientific modeling faces a tradeoff between the interpretability of mechanistic theory and the predictive power of machine learning. While existing hybrid approaches have made progress by ...

This course is heavily based on the following papers: Oganisian A, Roy JA. A practical introduction to Bayesian estimation of causal effects: Parametric and ...

Abstract: Causal inference with spatial environmental data is often challenging due to the presence of interference: outcomes for observational units depend on some combination of local and non-local ...

Accumulating evidence indicates that single neurons in the primate brain specifically encode sensorimotor experience about the self or others. Although the self-other distinction has been a major ...