Concepedia

Forecasting With Sparse Data

Forecasting with Sparse Data is a methodological framework within new product demand forecasting that enables the prediction of future demand using limited, incomplete, or infrequent historical observations, distinguished by its reliance on specialized statistical or machine learning techniques to infer patterns in data-scarce environments.

123

Publications

7.1K

Citations

404

Authors

220

Institutions

Publications per year

2017–2026

79

Variants

Sparse Data Forecasting

Parents

Publications

123

FEDformer: Frequency Enhanced Decomposed Transformer for Long-term Series Forecasting

Tian Zhou, Ziqing Ma, Qingsong Wen et al. · arXiv (Cornell University) · 2022 · 541 citations · Full text

, , +14

Forecasting using a large number of predictors: Is Bayesian shrinkage a valid alternative to principal components?

Christine De Mol, Domenico Giannone, Lucrezia Reichlin · Journal of Econometrics · 2008 · 527 citations · Full text

, , +14

Predicting the present with Bayesian structural time series

Steven L. Scott, Hal R. Varian · International Journal of Mathematical Modelling and Numerical Optimisation · 2014 · 329 citations

, , +16

Sparse Signals in the Cross‐Section of Returns

ALEX CHINCO, Adam D. Clark-Joseph, Mao Ye · The Journal of Finance · 2018 · 287 citations

, , +17

Ensemble-SINDy: Robust sparse model discovery in the low-data, high-noise limit, with active learning and control

Urban Fasel, J. Nathan Kutz, Bingni W. Brunton et al. · Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences · 2022 · 273 citations · Full text

, , +16

1–5 of 123

Authors

404

  1. DG
    Domenico Giannone

    Centre for Economic Policy Research, United Kingdom

    4 publications · 881 citations

    4

    h-index

  2. GE
    Giorgio E. Primiceri

    National Bureau of Economic Research, United States

    3 publications · 354 citations

    3

    h-index

  3. ML
    Michèle Lenza

    European Central Bank, Germany

    3 publications · 354 citations

    3

    h-index

  4. SL
    Steven L. Scott

    University of Wisconsin–Madison, United States

    2 publications · 442 citations

    2

    h-index

  5. CK
    Chongqing Kang

    Tsinghua University, China

    2 publications · 62 citations

    2

    h-index

1–5 of 404

Institutions

220

  1. European Central Bank

    Frankfurt am Main, Germany

    6 h-index

    6 publications

    982 citations

  2. Tsinghua University

    Beijing, China

    4 h-index

    15 publications

    692 citations

  3. Amazon (Germany)

    Berlin, Germany

    4 h-index

    5 publications

    412 citations

  4. Centre for Economic Policy Research

    London, United Kingdom

    4 h-index

    7 publications

    1.5K citations

  5. New York University

    New York, United States

    4 h-index

    7 publications

    214 citations

  6. Dalian University of Technology

    Dalian, China

    3 h-index

    9 publications

    416 citations

  7. KU Leuven

    Leuven, Belgium

    3 h-index

    6 publications

    148 citations

  8. National Bureau of Economic Research

    Cambridge, United States

    3 h-index

    3 publications

    297 citations

1–8 of 220

Venues

  1. SSRN Electronic Journal

    Repository · 5 publications · 334 citations

    5

    h-index

  2. IEEE Transactions on Industrial Informatics

    4 publications · 274 citations

    4

    h-index

  3. Applied Soft Computing

    4 publications · 157 citations

    4

    h-index

  4. arXiv (Cornell University)

    Repository · 4 publications · 606 citations

    4

    h-index

  5. Journal of Business and Economic Statistics

    JBES · 4 publications · 168 citations

    4

    h-index

1–5