Stationary Processes Estimation is a methodological framework within time series analysis that involves the systematic inference of statistical properties invariant over time, specifically designed for processes whose distributional characteristics remain constant across temporal shifts.
487
Publications
38.2K
Citations
624
Authors
368
Institutions
Publications per year
2017–2026
23
Parents
Publications
487
Time Series: Theory and Methods
Eric R. Ziegel, Peter J. Brockwell, Richard A. Davis · Technometrics · 1992 · 5.1K citations
1–5 of 487
Authors
624
- EM
10
h-index
- MMMikhail Moklyachuk
Taras Shevchenko National University of Kyiv, Ukraine
9 publications · 127 citations
9
h-index
- EM
8
h-index
- WB
8
h-index
- RD
7
h-index
1–5 of 624
Institutions
368
University of California San Diego
San Diego, United States
18 h-index
25 publications
1.2K citations
University of Chicago
Chicago, United States
11 h-index
13 publications
868 citations
Stanford University
Stanford, United States
11 h-index
19 publications
1.6K citations
Australian National University
Canberra, Australia
11 h-index
16 publications
703 citations
Hungarian Academy of Sciences
Budapest, Hungary
8 h-index
10 publications
711 citations
University of California, Berkeley
Berkeley, United States
8 h-index
8 publications
273 citations
London School of Economics and Political Science
London, United Kingdom
7 h-index
9 publications
886 citations
Technion – Israel Institute of Technology
Haifa, Israel
6 h-index
8 publications
235 citations
1–8 of 368
Venues
- The Annals of Statistics
32 publications · 2.4K citations
26
h-index
- Journal of the American Statistical Association
29 publications · 2.1K citations
22
h-index
- Journal of Time Series Analysis
33 publications · 2.4K citations
19
h-index
- IEEE Transactions on Information Theory
24 publications · 1.7K citations
19
h-index
- Stochastic Processes and their Applications
19 publications · 994 citations
16
h-index
1–5