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 ...

This book's organization : read me first! -- Introduction : models we believe in -- What is this stuff called probability? -- Bayes' rule -- Inferring a binomial proportion via exact mathematical ...

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

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 ...

It has long been known that insufficient consideration of spatial autocorrelation leads to unreliable hypothesis-tests and inaccurate parameter estimates. Yet, ecologists are confronted with a ...

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 ...