Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Sara Muhammadullah"'
Autor:
Sara Muhammadullah, Amena Urooj, Faridoon Khan, Mohammed N Alshahrani, Mohammed Alqawba, Sanaa Al-Marzouki
Publikováno v:
Complexity, Vol 2022 (2022)
In order to reduce the dimensionality of parameter space and enhance out-of-sample forecasting performance, this research compares regularization techniques with Autometrics in time-series modeling. We mainly focus on comparing weighted lag adaptive
Externí odkaz:
https://doaj.org/article/7b2d65bc511743ecba4399c4458ff611
Autor:
Faridoon Khan, Amena Urooj, Saud Ahmed Khan, Abdelaziz Alsubie, Zahra Almaspoor, Sara Muhammadullah
Publikováno v:
Complexity, Vol 2021 (2021)
This research compares factor models based on principal component analysis (PCA) and partial least squares (PLS) with Autometrics, elastic smoothly clipped absolute deviation (E-SCAD), and minimax concave penalty (MCP) under different simulated schem
Externí odkaz:
https://doaj.org/article/885814ccbb50484784a2349f855733e0
Publikováno v:
Journal of healthcare engineering. 2022
The coronavirus disease 2019 (COVID-19) pandemic continues to destroy human life around the world. Almost every country throughout the globe suffered from this pandemic, forcing various governments to apply different restrictions to reduce its impact
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::02bc56dc76baccfd2c009b571ef00b69
https://pubmed.ncbi.nlm.nih.gov/35747601
https://pubmed.ncbi.nlm.nih.gov/35747601
Autor:
Faridoon Khan, Amena Urooj, Saud Ahmed Khan, Saima K. Khosa, Sara Muhammadullah, Zahra Almaspoor
Publikováno v:
Mathematical Problems in Engineering, Vol 2022 (2022)
In this article, we compare autometrics and machine learning techniques including Minimax Concave Penalty (MCP), Elastic Smoothly Clipped Absolute Deviation (E-SCAD), and Adaptive Elastic Net (AEnet). For simulation experiments, three kinds of scenar
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1f450c5dd85221d05fedbdb42a3db568
Publikováno v:
Computational and Mathematical Methods in Medicine.
Impulse indicator saturation is a popular method for outlier detection in time series modeling, which outperforms the least trimmed squares (LTS), M-estimator, and MM-estimator. However, using the IIS method for outlier detection in cross-sectional a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d7aea8c10a126d6f2b147f9f26dc3806