Covariance estimation of spatio-temporal random variables with kronecker product based models
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Date
2022
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Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2022.
Abstract
Covariance estimation is a widely studied topic. Due to the nature of many prob lems, high-dimensional Spatio-temporal scenarios are considered frequently. In some cases, the true covariance matrices are also expected to have a Kronecker product-based representation. Especially in wind speed analysis, the true covariance matrix can be as sumed to have spatial and temporal Kronecker factors. This thesis studies Kronecker product-based covariance estimation models. Also, a new Kronecker product-based method is proposed with experimentation results showing its performance.