With the need of more responsive and resilient manufacturing processes for high value,
customised products, Flexible Manufacturing Systems (FMS) remain a very relevant …

Multimode processes are common in modern industry and refer to processes that work in
multiple operating modes. Motivated by the torque control process of a wind turbine, we …

Change point detection is critical in quality inspection and assessment in manufacturing
systems. As one of the most popular Bayesian inference techniques, particle filter algorithm …

Estimating treatment effects from observational data is of central interest across numerous
application domains. Individual treatment effect offers the most granular measure of …

Joint Random Partition Models for Multivariate Change Point Analysis Page 1 Bayesian Analysis
(2024) 19, Number 1, pp. 21–48 Joint Random Partition Models for Multivariate Change Point …

We present a Bayesian method for multivariate changepoint detection that allows for
simultaneous inference on the location of a changepoint and the coefficients of a logistic …

The product partition model (PPM) is widely used for detecting multiple change points.
Because changes in different parameters may occur at different times, the PPM fails to …

Sequential multiple change point detection concerns the identification of multiple points in
time where the systematic behavior of a statistical process changes. A special case of this …

With the need of more responsive and resilient manufacturing processes for high value,
customised products, Flexible Manufacturing Systems (FMS) remain a very relevant …

To a practitioner who chooses to be on the safe side, we offer an option between a cocktail
of tests and a solo one-size-fits-all test as a needed antidote to power asymmetries. Two …