Concepedia

Dynamic Forecasting Models

Dynamic Forecasting Models is a class of time-series forecasting methods that belong to the broader category of statistical predictive models, distinguished by their explicit incorporation of time-varying parameters and adaptive learning mechanisms to capture evolving demand patterns in new product forecasting contexts.

1.3K

Publications

136.3K

Citations

2.8K

Authors

1.2K

Institutions

Publications per year

2017–2026

470

Parents

Publications

1.3K

Time Series Analysis: Forecasting and Control

Michael D. Geurts, George E. P. Box, Gwilym M. Jenkins · Journal of Marketing Research · 1977 · 19.3K citations

, , +11

Time Series Analysis Forecasting and Control.

D. J. Bartholomew, G. E. P. Box, G. M. Jenkins · Operational Research Quarterly (1970-1977) · 1971 · 6.9K citations

, , +11

Time Series Analysis: Forecasting and Control.

O. D. Anderson, George E. P. Box, Gwilym M. Jenkins · Journal of the Royal Statistical Society Series D (The Statistician) · 1978 · 5.4K citations

, , +11

Time series forecasting using a hybrid ARIMA and neural network model

G.Peter Zhang · Neurocomputing · 2003 · 4.3K citations

, , +15

Time Series Analysis: Forecasting and Control

Beat Kleiner, G. E. P. Box, G. J. Jenkins · Technometrics · 1977 · 3.8K citations

, , +11

1–5 of 1.3K

Authors

2.8K

  1. GK
    Gary Koop

    University of Strathclyde, United Kingdom

    7 publications · 715 citations

    7

    h-index

  2. RG
    Rangan Gupta

    University of Pretoria, South Africa

    7 publications · 187 citations

    7

    h-index

  3. JH
    James H. Stock

    Harvard University, United States

    7 publications · 5.6K citations

    7

    h-index

  4. MM
    Massimiliano Marcellino

    Bocconi University, Italy

    6 publications · 645 citations

    6

    h-index

  5. LK
    Lutz Kilian

    University of Michigan, United States

    6 publications · 287 citations

    6

    h-index

1–5 of 2.8K

Institutions

1.2K

  1. Centre for Economic Policy Research

    London, United Kingdom

    15 h-index

    21 publications

    1.2K citations

  2. National Bureau of Economic Research

    Cambridge, United States

    13 h-index

    19 publications

    9K citations

  3. Chinese Academy of Sciences

    Beijing, China

    12 h-index

    27 publications

    1.5K citations

  4. Hong Kong Polytechnic University

    Hong Kong, Hong Kong

    11 h-index

    17 publications

    1.3K citations

  5. University of Chinese Academy of Sciences

    Beijing, China

    11 h-index

    24 publications

    1K citations

  6. European Central Bank

    Frankfurt am Main, Germany

    11 h-index

    15 publications

    1.1K citations

  7. North China Electric Power University

    Beijing, China

    10 h-index

    28 publications

    2.9K citations

  8. Monash University

    Melbourne, Australia

    10 h-index

    19 publications

    4.8K citations

1–8 of 1.2K

Venues

  1. International Journal of Forecasting

    70 publications · 6.5K citations

    37

    h-index

  2. Expert Systems with Applications

    35 publications · 1.9K citations

    26

    h-index

  3. Journal of Forecasting

    37 publications · 2K citations

    23

    h-index

  4. SSRN Electronic Journal

    Repository · 58 publications · 1.6K citations

    21

    h-index

  5. Applied Soft Computing

    22 publications · 2.4K citations

    20

    h-index

1–5