Book Abstract: Bayesian Bounds provides a collection of the important papers dealing with the theory and application of Bayesian bounds. The book is essential to both engineers and statisticians ...

An international team has combined organic synthesis with predictive models to discover new functional materials that enhance ...

Persistent Link: https://ieeexplore.ieee.org/servlet/opac?punumber=5263120 ...

Stan development repository. The master branch contains the current release. The develop branch contains the latest stable development. See the Developer Process Wiki for details.

In the sport of baseball, one of the most commonly cited statistics is the batting average, usually framed over an entire ...

This course gives an introduction to probability as it is used in computer science theory and practice, Estimators for mean and variance. Maximum likelihood estimation (MLE). MAP estimation. Bayesian ...

Thirty-one members of the University of Chicago faculty have received distinguished service professorships or named ...

Clique recycling non-Gaussian (multi-modal) factor graph solver; also see Caesar.jl.

Liquid water seems to be a necessity for life. And from the 19th century to the early days of the exploration of space, ...

The course includes topics in statistical theory that are now becoming important for researchers in machine learning, including consistency, minimax estimation, and concentration of measure. It also ...