4 papers
On regression and classification with possibly missing response variables in the data
Majid Mojirsheibani, William Pouliot, Andre Shakhbandaryan
This paper considers the problem of kernel regression and classification with possibly unobservable response variables in the data, where the mechanism that causes the absence of i…
A simple approach to construct confidence bands for a regression function with incomplete data
Ali Al-Sharadqah, Majid Mojirsheibani
A long-standing problem in the construction of asymptotically correct confidence bands for a regression function , where is the response variable influenced by t…
Statistical classification for partially observed functional data via filtering
Majid Mojirsheibani, My-Nhi Nguyen, Crystal Shaw
This article deals with the problem of functional classification for L2-valued random covariates when some of the covariates may have missing or unobservable fragments. Here, it is…
Classification on convex sets in the presence of missing covariates
Levon Demirdjian, Majid Mojirsheibani
A number of results related to statistical classification on convex sets are presented. In particular, the focus is on the case where some of the covariates in the data and observa…