Every spring, thick mats of brown seaweed called Sargassum pile onto beaches from Barbados to Cancun, smothering coral reefs, ...

Inc. ("a.s.ist") leverages research expertise cultivated at The University of Tokyo to drive digital transformation (DX) in manufacturing through white-box AI.

Multiple system atrophy (MSA) is an adult-onset, rapidly progressive neurodegenerative disorder characterised by the aggregation of α-synuclein in oligodendroglial cytoplasmatic inclusions.1 ...

When investigators arrive at a crime scene, one of the most overlooked yet powerful clues they may find is a shoe print. But ‘matching’ a shoe to a print with ‘class characteristics’ such ...

Nguyen Xuan Long, a globally recognized expert in statistical inference and machine learning currently based in the United States, is set to return to Vietnam regularly to supervise doctoral students.

In 1885, a pamphlet appeared in Virginia describing three coded messages hiding the location of a buried treasure worth millions. One cipher (B2) was solvable using the Declaration of Independence as ...

The FDA’s new draft guidance on Bayesian methods in clinical trials has been hailed by some as a breakthrough that could speed drug development. But statisticians and researchers are divided on ...

This real-world study evaluated the efficacy and safety of telitacicept, a dual BAFF/APRIL inhibitor, in patients with generalized myasthenia gravis (MG). Telitacicept is a novel recombinant fusion ...

Bayesian analysis is being used with increasing frequency in critical care research and brings advantages and disadvantages compared to traditional Frequentist techniques. This study overviews this ...

We discuss Bayesian approaches for learning Bayesian networks from data. First, we review a metric for computing the relative posterior probability of a network structure given data developed by ...

This study introduces a novel and highly flexible class of discrete probability distributions tailored to model the diverse monotonic failure-rate patterns frequently observed in stock-market data.