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math.ST2026
Asymptotic analysis of the Gaussian kernel matrix for partially noisy data in high dimensions
Kensuke Aishima
The Gaussian kernel is one of the most important kernels, applicable to many research fields, including scientific computing and data science. In this paper, we present asymptotic…
math.ST2023
Strong consistency of an estimator by the truncated singular value decomposition for an errors-in-variables regression model with collinearity
Kensuke Aishima
In this paper, we prove strong consistency of an estimator by the truncated singular value decomposition for a multivariate errors-in-variables linear regression model with colline…