4 citations · 16 across the 12 of their papers we have counts for
7 papers · 1 filter
Robust changepoint detection in the variability of multivariate functional data
Kelly Ramsay, Shoja'eddin Chenouri
We consider the problem of robustly detecting changepoints in the variability of a sequence of independent multivariate functions. We develop a novel changepoint procedure, called…
Functional Boxplots for Outlier Detection in Additive Manufacturing
Ahmad Mozaffari, Shojaeddin Chenouri, Ehsan Toyserkani +1
Additive manufacturing (AM), also known as 3D printing, is one of the most promising digital manufacturing technologies, thanks to its potential to produce highly complex geometrie…
On Monitoring High-Dimensional Processes with Individual Observations
Mohsen Ebadi, Shojaeddin Chenouri, Stefan H. Steiner
Modern data collecting methods and computation tools have made it possible to monitor high-dimensional processes. In this article, Phase II monitoring of high-dimensional processes…
Phase I Analysis of High-Dimensional Processes in the Presence of Outliers
Mohsen Ebadi, Shojaeddin Chenouri, Stefan H. Steiner
One of the significant challenges in monitoring the quality of products today is the high dimensionality of quality characteristics. In this paper, we address Phase I analysis of h…
Robust nonparametric hypothesis tests for differences in the covariance structure of functional data
Kelly Ramsay, Shojaeddin Chenouri
We develop a group of robust, nonparametric hypothesis tests which detect differences between the covariance operators of several populations of functional data. These tests, calle…
Valid Post-Detection Inference for Change Points Identified Using Trend Filtering
Reza Valiollahi Mehrizi, Shojaeddin Chenouri
There are many research works and methods about change point detection in the literature. However, there are only a few that provide inference for such change points after being es…