WebJun 19, 2024 · A function-on-function regression model that can be used to analyze functional data where the response and predictor variables are both functions of time, location, or some other covariate is presented and the estimator of the 2D coefficient function is the optimizer of a form of penalized least squares. ABSTRACT Many scientific … WebMay 1, 2024 · This manuscript considers regression models for generalized, multilevel functional responses: functions are generalized in that they follow an exponential family distribution and multilevel in ...
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WebGeneralized multilevel function-on-scalar regression and principal component analysis This manuscript considers regression models for generalized, multilevel functional responses: functions are generalized in that they follow an exponential family distribution and … WebJan 31, 2024 · The mortality rates of subpopulations are treated as multilevel functional data and a weighted multilevel functional principal component (wMFPCA) approach is proposed to model and forecast them. ... [6 C.M. Crainiceanu, A.M. Staicu and C.Z. Di, Generalized multilevel functional regression, J. Am. Stat. Assoc. 104 (2009), ... grief dictionary
Generalized Multilevel Functional Regression. - Europe PMC
WebDec 1, 2009 · Generalized Multilevel Functional Regression We introduce Generalized Multilevel Functional Linear Models (GMFLMs), a novel statistical framework for … WebApr 1, 2024 · We introduce Generalized Multilevel Functional Linear Models (GMFLMs), a novel statistical framework for regression models where exposure has a multilevel functional structure. WebWe introduce Generalized Multilevel Functional Linear Models (GMFLMs), a novel statistical framework for regression models where exposure has a multilevel functional … fiery impact