Bayesian approaches to count data analysis offer a coherent framework for incorporating prior information and quantifying uncertainty in models for discrete outcomes. Central to this methodology is ...

Bayesian methods offer a coherent framework for quantifying and propagating uncertainty by combining prior knowledge with experimental data. Unlike classical ...

The 37th Annual Summer Institute of Applied Statistics at Brigham Young University, sponsored by the Department of Statistics, will be June 13-15. The topic will be "Applied Bayesian Analysis in ...

Ideally, specific treatment for a cancer patient is decided by a multidisciplinary tumor board, integrating prior clinical experience, published data, and patient-specific factors to develop a ...

Invasive species are among the leading threats to forests across North America. Among them, the spongy moth and Douglas-fir tussock moth are responsible for extensive damage to forests from coast to ...