We all have the habit of trying to guess the killer in a movie before the big reveal. That’s us making inferences. It’s what happens when your brain connects the dots without being told everything ...

For many people, the rise of artificial intelligence–generated images has sparked anxiety—about misinformation, deepfakes and ...

Explore how AI inferencing is evolving in 2025, from GPUs to quantum, highlighting real-time, cost-effective alternatives and ...

Measurement error models address the deviation between observed and true values, thereby refining the reliability of statistical inference. These frameworks are ...

The mission of Technometrics is to contribute to the development and use of statistical methods in the physical, chemical, and engineering sciences. Its content features papers that describe new ...

Topics in nonasymptotic direct computational methods for statistical inference in data mining. Background in probability and statistics required.

A stochastic discrete-time susceptible-exposed-infectious-recovered (SEIR) model for infectious diseases is developed with the aim of estimating parameters from daily incidence and mortality time ...

The second century Alexandrian astronomer and mathematician Claudius Ptolemy had a grand ambition. Hoping to make sense of the motion of stars and the paths of planets, he published a magisterial ...