L Ephremidze - arXiv preprint arXiv:2412.18901, 2024 - arxiv.org
Granger causality has become an indispensable tool for analyzing causal relationships between time series. In this paper, we provide a detailed overview of its mathematical …
L Ephremidze - Analysis without Borders: Dedicated to Ilya Spitkovsky …, 2024 - Springer
A Numerical Algorithm for Matrix Spectral Factorization on the Real Line | SpringerLink Skip to main content Advertisement SpringerLink Account Menu Find a journal Publish with us Track …
L Ephremidze - Advances in Operator Theory, 2025 - Springer
In this paper, we extend the basic idea of the Janashia–Lagvilava algorithm to adapt it for the spectral factorization of positive-definite polynomial matrices on the real line. This …
L Ephremidze, I Spitkovsky - … : Proceedings of the 2024 Future of …, 2024 - books.google.com
We propose a superfast method for constructing orthogonal matrices MEO (n, q) in finite fields GF (q). It can be used to construct n× n orthogonal matrices in Z, with very high values …
L Ephremidze, I Spitkovsky - Future of Information and Communication …, 2024 - Springer
We propose a superfast method for constructing orthogonal matrices M∈ O (n, q) in finite fields GF (q). It can be used to construct n× n orthogonal matrices in Z p with very high …
Spectral factorization is the process by which a positive (scalar or matrix-valued) function S is expressed in the form S (t)= S+(t) S∗+(t), t∈ T, where S+ can be analytically extended …