Data Modeling With Polynomial Representations and Autoregressive Time-Series Representations, and Their Connections-Reference-Cited by-同舟云学术

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Data Modeling With Polynomial Representations and Autoregressive Time-Series Representations, and Their Connections

Published:2020 Issue: Volume:8 Page:110412-110424
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Nandi Asoke K.^ORCID

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science

Link

http://xplorestaging.ieee.org/ielx7/6287639/8948470/09110862.pdf?arnumber=9110862

Cited by 6 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Adaptive polynomial Kalman filter for nonlinear state estimation in modified AR time series with fixed coefficients;IET Control Theory & Applications;2024-08-29

2. Multimodal correlations-based data clustering;Foundations of Data Science;2022

3. Leveraging weather data for forecasting cases-to-mortality rates due to COVID-19;Chaos, Solitons & Fractals;2021-11

4. Degree and noise power estimation from noisy polynomial data via AR modelling;Digital Signal Processing;2021-07

5. COVID-19 Dynamics Prediction by Improved Multi-Polynomial Regression Model;The 2nd International Conference on Computing and Data Science;2021-01-28

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