Bayesian analysis offers a robust framework for deciphering the intricate dynamics of time series data. By treating unknown parameters as random variables, this approach incorporates prior information ...

Scientists have developed a method to identify symmetries in multi-dimensional data using Bayesian statistical techniques. Bayesian statistics has been in the spotlight in recent years due to ...

Dr. Wang, who also serves as the founding director for research in the Division of Data Science, is leading efforts to create ...

Strong and temporally precise coupling between frontal slow oscillations and fast spindles consistently predicts memory retention across conditions, supporting its role as a fundamental mechanism in ...

Benefit of adding Cureety remote patient monitoring (RPM) to usual care during injectable anticancer treatment: The OPTIMACURE multicentric French prospective randomized study. This is an ASCO Meeting ...

Journal of the Royal Statistical Society. Series A (Statistics in Society), Vol. 181, No. 3 (2018), pp. 635-647 (13 pages) Statistical agencies are increasingly adopting synthetic data methods for ...

Historic Clinical Trial External Control Arm Provides Actionable GEN-1 Efficacy Estimate Before a Randomized Trial Randomized controlled trials are considered the golden standard for estimating ...

Lead exposure in childhood may be even more dangerous for cognitive development and school performance than previously thought, according to a new analysis led by data scientist Joe Feldman.