Quantile Forecasting

Quantile Forecasting is a probabilistic forecasting method that estimates specific quantiles of the predictive distribution, distinguishing itself by providing point estimates for predetermined levels of the cumulative distribution rather than a full density or single expected value.

509

Publications

32.4K

Citations

1.2K

Authors

727

Institutions

Publications per year

2017–2026

322

Authors

1.2K

  1. YH
    Yaoyao He

    Hefei University of Technology, China

    9 publications · 636 citations

    9

    h-index

  2. JW
    James W. Taylor

    University of Wisconsin–Madison, United States

    7 publications · 972 citations

    7

    h-index

  3. RG
    Rangan Gupta

    University of Pretoria, South Africa

    7 publications · 1.7K citations

    7

    h-index

  4. VC
    Victor Chernozhukov

    Massachusetts Institute of Technology, United States

    7 publications · 282 citations

    7

    h-index

  5. AS
    Arshian Sharif

    Sunway University, Malaysia

    7 publications · 1K citations

    7

    h-index

1–5 of 1.2K

Venues

  1. Energy

    18 publications · 972 citations

    17

    h-index

  2. Resources Policy

    15 publications · 878 citations

    13

    h-index

  3. International Journal of Forecasting

    14 publications · 884 citations

    13

    h-index

  4. Energy Economics

    11 publications · 1.5K citations

    11

    h-index

  5. 11

    h-index

1–5