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In this article, we consider the problem of recovering the underlying trajectory when the longitudinal data are sparsely and irregularly observed and noise‐contaminated. Such data are popularly analyzed with functional principal component analysis via the principal analysis by conditional estimation (PACE) method. The PACE method may sometimes be numerically unstable because it involves the inverse...
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