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Details about Feng Li

E-mail:
Homepage:http://feng.li/
Postal address:Guanghua School of Management Peking University, Beijing 100871, China
Workplace:Department of Business Statistics and Econometrics, Guanghua School of Management, Peking University, (more information at EDIRC)

Access statistics for papers by Feng Li.

Last updated 2024-06-30. Update your information in the RePEc Author Service.

Short-id: pli521


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Working Papers

2022

  1. Bayesian forecast combination using time-varying features
    Papers, arXiv.org Downloads View citations (2)
    See also Journal Article Bayesian forecast combination using time-varying features, International Journal of Forecasting, Elsevier (2023) Downloads View citations (2) (2023)
  2. Feature-based intermittent demand forecast combinations: bias, accuracy and inventory implications
    Papers, arXiv.org Downloads View citations (1)
  3. Forecasting: theory and practice
    Papers, arXiv.org Downloads View citations (70)
    See also Journal Article Forecasting: theory and practice, International Journal of Forecasting, Elsevier (2022) Downloads View citations (30) (2022)
  4. Optimal reconciliation with immutable forecasts
    Papers, arXiv.org Downloads View citations (2)
    See also Journal Article Optimal reconciliation with immutable forecasts, European Journal of Operational Research, Elsevier (2023) Downloads View citations (1) (2023)

2020

  1. Distributed ARIMA Models for Ultra-long Time Series
    Monash Econometrics and Business Statistics Working Papers, Monash University, Department of Econometrics and Business Statistics Downloads View citations (4)
    See also Journal Article Distributed ARIMA models for ultra-long time series, International Journal of Forecasting, Elsevier (2023) Downloads View citations (2) (2023)

2019

  1. Feature-based Forecast-Model Performance Prediction
    Monash Econometrics and Business Statistics Working Papers, Monash University, Department of Econometrics and Business Statistics Downloads View citations (1)

2018

  1. Efficient generation of time series with diverse and controllable characteristics
    Monash Econometrics and Business Statistics Working Papers, Monash University, Department of Econometrics and Business Statistics Downloads View citations (1)

2010

  1. Modeling Conditional Densities Using Finite Smooth Mixtures
    Working Paper Series, Sveriges Riksbank (Central Bank of Sweden) Downloads View citations (4)

2009

  1. Flexible Modeling of Conditional Distributions Using Smooth Mixtures of Asymmetric Student T Densities
    Working Paper Series, Sveriges Riksbank (Central Bank of Sweden) Downloads

Journal Articles

2023

  1. Bayesian forecast combination using time-varying features
    International Journal of Forecasting, 2023, 39, (3), 1287-1302 Downloads View citations (2)
    See also Working Paper Bayesian forecast combination using time-varying features, Papers (2022) Downloads View citations (2) (2022)
  2. Distributed ARIMA models for ultra-long time series
    International Journal of Forecasting, 2023, 39, (3), 1163-1184 Downloads View citations (2)
    See also Working Paper Distributed ARIMA Models for Ultra-long Time Series, Monash Econometrics and Business Statistics Working Papers (2020) Downloads View citations (4) (2020)
  3. Feature-based intermittent demand forecast combinations: accuracy and inventory implications
    International Journal of Production Research, 2023, 61, (22), 7557-7572 Downloads
  4. Forecast combinations: An over 50-year review
    International Journal of Forecasting, 2023, 39, (4), 1518-1547 Downloads View citations (14)
  5. Optimal reconciliation with immutable forecasts
    European Journal of Operational Research, 2023, 308, (2), 650-660 Downloads View citations (1)
    See also Working Paper Optimal reconciliation with immutable forecasts, Papers (2022) Downloads View citations (2) (2022)

2022

  1. A Note on Distributed Quantile Regression by Pilot Sampling and One-Step Updating
    Journal of Business & Economic Statistics, 2022, 40, (4), 1691-1700 Downloads View citations (1)
  2. FFORMPP: Feature-based forecast model performance prediction
    International Journal of Forecasting, 2022, 38, (3), 920-943 Downloads View citations (3)
  3. Forecast with forecasts: Diversity matters
    European Journal of Operational Research, 2022, 301, (1), 180-190 Downloads View citations (3)
  4. Forecasting: theory and practice
    International Journal of Forecasting, 2022, 38, (3), 705-871 Downloads View citations (30)
    See also Working Paper Forecasting: theory and practice, Papers (2022) Downloads View citations (70) (2022)
  5. Hierarchical forecasting with a top-down alignment of independent-level forecasts
    International Journal of Forecasting, 2022, 38, (4), 1405-1414 Downloads View citations (6)
  6. Relationships between Perfectionism, Extra Training and Academic Performance in Chinese Collegiate Athletes: Mediating Role of Achievement Motivation
    IJERPH, 2022, 19, (17), 1-14 Downloads
  7. The uncertainty estimation of feature-based forecast combinations
    Journal of the Operational Research Society, 2022, 73, (5), 979-993 Downloads View citations (3)

2021

  1. Déjà vu: A data-centric forecasting approach through time series cross-similarity
    Journal of Business Research, 2021, 132, (C), 719-731 Downloads View citations (1)

2019

  1. Changes in patterns of mortality rates and years of life lost due to firearms in the United States, 1999 to 2016: A joinpoint analysis
    PLOS ONE, 2019, 14, (11), 1-18 Downloads
  2. Credit risk clustering in a business group: Which matters more, systematic or idiosyncratic risk?
    Cogent Economics & Finance, 2019, 7, (1), 1632528 Downloads View citations (2)

2018

  1. Improving forecasting performance using covariate-dependent copula models
    International Journal of Forecasting, 2018, 34, (3), 456-476 Downloads View citations (3)

2013

  1. Efficient Bayesian Multivariate Surface Regression
    Scandinavian Journal of Statistics, 2013, 40, (4), 706-723 Downloads View citations (3)

Chapters

2023

  1. Forecasting Large Collections of Time Series: Feature-Based Methods
    Palgrave Macmillan
 
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