The FDA's move to incorporate Bayesian statistical methods into clinical trials of drugs and biologics garnered special treatment in JAMA this week. JAMA published three perspectives -- two welcoming ...

Articulate the primary interpretations of probability theory and the role these interpretations play in Bayesian inference Use Bayesian inference to solve real-world statistics and data science ...

Bayesian quantile regression extends the classical quantile regression framework by embedding it within a probabilistic paradigm, allowing direct inference on conditional quantiles through ...

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 ...

The FDA’s new draft guidance on Bayesian methods in clinical trials has been hailed by some as a breakthrough that could speed drug development.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

A Bayesian particle Gibbs framework enables unbiased spike time inference with millisecond resolution and jointly estimates uncertainties in both spike timing and model parameters from fast calcium ...