Stacking Of Predictive Distributions

Stacking of Predictive Distributions is a model combination method that belongs to the class of ensemble learning techniques, distinguished by its optimization of predictive performance through the weighted aggregation of Bayesian predictive distributions, where weights are selected to maximize cross-validated expected utility.

4

Publications

578

Citations

8

Authors

6

Institutions

Publications per year

2017–2026

4

Variants

Bayesian Stacking

Authors

8

  1. SL
    Sebastian Lerch

    Karlsruhe Institute of Technology, Germany

    1 publications · 65 citations

    1

    h-index

  2. MH
    Marvin Höge

    Swiss Federal Institute of Aquatic Science and Technology, Switzerland

    1 publications · 18 citations

    1

    h-index

  3. WN
    Wolfgang Nowak

    University of Stuttgart, Germany

    1 publications · 18 citations

    1

    h-index

  4. PR
    Prasad Reddy P.V.G.D.

    Andhra University, India

    1 publications · 14 citations

    1

    h-index

  5. GS
    Gorla Srinivas

    Andhra University, India

    1 publications · 14 citations

    1

    h-index

1–5 of 8

Venues

  1. Bayesian Analysis

    1 publications · 481 citations

    1

    h-index

  2. International Journal of Forecasting

    1 publications · 65 citations

    1

    h-index

  3. Water

    1 publications · 18 citations

    1

    h-index

  4. 1

    h-index

  5. The Astrophysical Journal

    ApJ · 1 publications · 13 citations

1–5