Abstract: Navigation systems are commonly used in Internet of Things (IoT) devices to provide navigation information. For achieving accurate information on devices, this article describes a robust ...

A practical and conceptual study of Bayesian filtering and smoothing for systems whose internal states are not directly observable and evolve over time under uncertainty. The emphasis is on inference, ...

SeMIS is a multiple importance sampling (MIS)–based Bayesian inference algorithm designed for multimodal and high-dimensional posterior distributions. The algorithm constructs a sequence of softly ...

Some say that if you can’t measure something, you’re not doing science. Bayesian logic offers a way to measure things that were previously unmeasurable, allowing us to test hypotheses and predictions ...

The increasing interest in Bayesian group sequential design is due to its potential to reinforce efficiency in clinical trials, shorten drug development time, and enhance the accuracy of statistical ...