Moving Average Processes
Moving Average Processes is a discrete-time stochastic process in which the current value is defined as a linear combination of current and past white noise error terms, distinguished from other autoregressive or integrated processes by its dependence solely on these moving average components.
633
Publications
40.7K
Citations
1.1K
Authors
585
Institutions
Publications per year
2017–2026
74
Variants
Ma Processes
633
1–5 of 633
1.1K
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585
Colorado State University
Fort Collins, United States
10 h-index
15 publications
555 citations
Technical University of Munich
Munich, Germany
10 h-index
12 publications
311 citations

Wrocław University of Science and Technology
Wroclaw, Poland
8 h-index
24 publications
623 citations
Technion – Israel Institute of Technology
Haifa, Israel
7 h-index
9 publications
474 citations

Centre National de la Recherche Scientifique
Paris, France
7 h-index
14 publications
500 citations
Stanford University
Stanford, United States
7 h-index
8 publications
1.6K citations

Naval Postgraduate School
Monterey, United States
6 h-index
6 publications
547 citations
The University of Osaka
Osaka, Japan
6 h-index
12 publications
573 citations
1–8 of 585
39 publications · 4.6K citations
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35 publications · 1.6K citations
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13 publications · 3.8K citations
13
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12 publications · 724 citations
12
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13 publications · 864 citations
12
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