Function-on-Function Linear Regression by Signal Compression
Sign Up to like & getrecommendations! Published in 2017 at "Journal of the American Statistical Association"
DOI: 10.1080/01621459.2016.1164053
Abstract: ABSTRACT We consider functional linear regression models with a functional response and multiple functional predictors, with the goal of finding the best finite-dimensional approximation to the signal part of the response function. Defining the integrated… read more here.
Keywords: function linear; regression; linear regression; function function ... See more keywords
Sparse and Structured Function-on-Function Quality Predictive Modeling by Hierarchical Variable Selection and Multitask Learning
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Industrial Informatics"
DOI: 10.1109/tii.2020.3041830
Abstract: Modern manufacturing industries are often featured with a data-rich environment. The real-time behaviors of process variables can be completely recorded as multiple various signal signatures, and the geometric quality of finished products can be thoroughly… read more here.
Keywords: quality; structured function; function function; hierarchical variable ... See more keywords
Restricted function-on-function linear regression model.
Sign Up to like & getrecommendations! Published in 2021 at "Biometrics"
DOI: 10.1111/biom.13463
Abstract: The usual function-on-function linear regression model depicts the association between functional variables in the whole rectangular region and the value of response curve at any point is influenced by the entire trajectory of the predictor… read more here.
Keywords: function function; sub region; regression model; model ... See more keywords