Time Series Modeling
Time Series Modeling is a statistical modeling technique that characterizes and analyzes sequentially ordered, time-dependent observations to capture temporal dependencies and forecast future values based on past and present data.
19.4K
Publications
1.6M
Citations
38.8K
Authors
6.9K
Institutions
Publications per year
2017–2026
7.5K
19.4K
Time Series Analysis: Forecasting and Control
Michael D. Geurts, George E. P. Box, Gwilym M. Jenkins · Journal of Marketing Research · 1977 · 19.3K citations
Computing, Data Science, Forecasting +11
Testing for a unit root in time series regression
Peter C.B. Phillips, Pierre Perrón · Biometrika · 1988 · 17.9K citations
Likelihood Ratio Statistics for Autoregressive Time Series with a Unit Root
David A. Dickey, Wayne A. Fuller · Econometrica · 1981 · 14.6K citations
Business, Economics, Econometrics +15
1–5 of 19.4K
38.8K
40
h-index
35
h-index
35
h-index
32
h-index
University of California San Diego, United States
44 publications · 13.3K citations
31
h-index
1–5 of 38.8K
6.9K
University of California San Diego
San Diego, United States
57 h-index
153 publications
46.7K citations
University of Chicago
Chicago, United States
55 h-index
138 publications
18.2K citations

Monash University
Melbourne, Australia
54 h-index
238 publications
34.6K citations

Chinese Academy of Sciences
Beijing, China
53 h-index
399 publications
26.5K citations

Hong Kong Polytechnic University
Hong Kong, Hong Kong
51 h-index
172 publications
14K citations
University of Wisconsin–Madison
Madison, United States
48 h-index
134 publications
30.7K citations
Tsinghua University
Beijing, China
48 h-index
274 publications
29K citations

Centre National de la Recherche Scientifique
Paris, France
47 h-index
261 publications
17.9K citations
1–8 of 6.9K
393 publications · 98.8K citations
116
h-index
256 publications · 24.3K citations
83
h-index
273 publications · 31.7K citations
81
h-index
334 publications · 31.6K citations
73
h-index
180 publications · 22.2K citations
72
h-index
1–5