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 ...

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

Cosmologists have long wondered whether dark energy and the accelerating expansion of the universe is an illusion. Now the ...

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 ...

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.

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 ...

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

Joseph Juran was a pioneer in the study of quality control. His management theory has gained worldwide recognition in the science, engineering and mathematics fields. His “Juran’s Quality Control ...

But none have been as popular as modern portfolio theory (MPT). Here, we look at the basic ideas behind MPT, its pros and cons, and how it should factor into your portfolio management. Modern ...