Bayesian Trend Estimation

Bayesian Trend Estimation is a statistical methodology within Bayesian time series analysis that characterizes the underlying secular pattern in sequential data by specifying a probabilistic model for the trend component and inferring its trajectory through posterior updating given observed data.

83

Publications

5.3K

Citations

182

Authors

126

Institutions

Publications per year

2017–2026

19

Authors

182

  1. EZ
    Eric Zivot

    University of Washington, United States

    4 publications · 210 citations

    4

    h-index

  2. DJ
    Dale J. Poirier

    University of Toronto, Canada

    3 publications · 73 citations

    3

    h-index

  3. GK
    Gary Koop

    University of Strathclyde, United Kingdom

    3 publications · 98 citations

    3

    h-index

  4. HK
    Herman K. van Dijk

    Erasmus University Rotterdam, Netherlands

    3 publications · 198 citations

    3

    h-index

  5. DB
    Duk Bin Jun

    Korea Advanced Institute of Science and Technology, South Korea

    2 publications · 39 citations

    2

    h-index

1–5 of 182

Venues

  1. SSRN Electronic Journal

    Repository · 6 publications · 139 citations

    6

    h-index

  2. Journal of Applied Econometrics

    6 publications · 485 citations

    6

    h-index

  3. Journal of Business and Economic Statistics

    JBES · 5 publications · 253 citations

    5

    h-index

  4. International Journal of Forecasting

    4 publications · 168 citations

    4

    h-index

  5. Journal of Forecasting

    3 publications · 62 citations

    3

    h-index

1–5