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- W3207268455 abstract "The considerations of this paper are restricted to random variables with values on Riemannian manifolds M and hence we propose a geometric framework to estimate their recursive regression function. Suppose we are given observations (Xi,Yi)i=1⋯n, where Xi∈M and Yi∈R. In this work we define and study a new estimator of the regression function on Riemannian Manifold M. Precisely, we employ a recursive version of the Nadaraya–Watson estimator on Riemannian Manifolds. Under some assumptions in Riemannian Manifolds data analysis, we study the properties of a recursive family kernels regression. The bias, variance are computed explicitly." @default.
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- W3207268455 date "2022-03-01" @default.
- W3207268455 modified "2023-09-25" @default.
- W3207268455 title "Nonparametric recursive regression estimation on Riemannian Manifolds" @default.
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- W3207268455 doi "https://doi.org/10.1016/j.spl.2021.109274" @default.
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