Nonparametric Forecasting

Nonparametric Forecasting is a forecasting method that, unlike parametric approaches, makes no assumptions about the functional form or underlying distribution of the data, relying instead on data-driven techniques to model and predict future values.

176

Publications

11.2K

Citations

399

Authors

247

Institutions

Publications per year

2017–2026

35

Authors

399

  1. BL
    Brian L. Smith

    University of Virginia, United States

    6 publications · 1.2K citations

    6

    h-index

  2. RC
    Ricardo Cao

    Universidade da Coruña, Spain

    4 publications · 247 citations

    4

    h-index

  3. AS
    Ashish Sharma

    UNSW Sydney, Australia

    4 publications · 238 citations

    4

    h-index

  4. DG
    Dimitrios Giannakis

    Courant Institute of Mathematical Sciences, United States

    3 publications · 163 citations

    3

    h-index

  5. GA
    Germán Aneiros

    Universidade da Coruña, Spain

    3 publications · 321 citations

    3

    h-index

1–5 of 399

Venues

  1. Journal of Forecasting

    6 publications · 285 citations

    6

    h-index

  2. Water Resources Research

    6 publications · 593 citations

    6

    h-index

  3. Journal of Transportation Engineering

    5 publications · 980 citations

    5

    h-index

  4. 5

    h-index

  5. IEEE Transactions on Power Systems

    6 publications · 1K citations

    5

    h-index

1–5