Abstract: Multidimensional degradation processes commonly arise in complex engineering systems such as aerospace equipment, military devices, and new-energy vehicles. These systems exhibit degradation ...

Overview. Data transformations are a useful companion for parametric regression models. A well-chosen or learned transformation can greatly enhance the applicability of a given model, especially for ...

This course equips learners with the theoretical knowledge and computational skills needed to implement modern Bayesian statistical methods in real-world settings. By completing the course, learners ...

Abstract: Efficient outage location is critical to enhancing the resilience of power distribution systems. However, accurate outage location requires combining massive evidence received from diverse ...

Customer stories Events & webinars Ebooks & reports Business insights GitHub Skills ...

High-frequency spike inference with particle Gibbs sampling Giovanni Diana, B Semihcan Sermet ... David A DiGregorio A Bayesian particle Gibbs framework enables unbiased spike time inference with ...