The covariance function estimation based on the constrained B-spline smoothing method
Author:
Publisher
Science China Press., Co. Ltd.
Subject
General Mathematics
Link
https://engine.scichina.com/doi/pdf/4B4C60CDCC59458C85637A4795FA4798
Reference25 articles.
1. Qin K. Spatio-temporal data modeling (in Chinese). PhD Thesis. Beijing: China University of Geosciences, 2016.
2. Choi I, Li B, Wang X. Nonparametric estimation of spatial and space-time covariance function. J Agric Biol Environ Stat, 2013, 18: 611-630.
3. Yang J, Zhu H, Choi T. Smoothing and mean-covariance estimation of functional data with a Bayesian hierarchical model. Bayesian Anal, 2016, 11: 649-670.
4. Weku W, Pramoedyo H, Widodo A. Positive definite functions of non monoton variogram to define the spatial dependency of correlogram. AIP Conf Proc, 2019, 2192:
5. Brydges D, Talarczyk A. Finite range decompositions of positive-definite functions. J Funct Anal, 2006, 236: 682-711.
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