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Marat Salikhov

Personal Details

First Name:Marat
Middle Name:
Last Name:Salikhov
Suffix:
RePEc Short-ID:psa2225
[This author has chosen not to make the email address public]
http://marat-r-salikhov.github.io

Affiliation

New Economic School (NES)

Moscow, Russia
http://www.nes.ru/
RePEc:edi:nerasru (more details at EDIRC)

Research output

as
Jump to: Working papers Articles

Working papers

  1. Astashkina, Ekaterina & Momot, Ruslan & Salikhov, Marat, 2018. "Impact of Workforce Flexibility on Customer Satisfaction: Empirical Framework & Evidence from a Cleaning Services Platform," HEC Research Papers Series 1313, HEC Paris.
  2. Ekaterina Astashkina & Ruslan Momot & Marat Salikhov, 2018. "Impact of Workforce Flexibility on Customer Satisfaction: Empirical Framework & Evidence from a Cleaning Services Platform," Working Papers hal-02895973, HAL.

Articles

  1. Satopää, Ville A. & Salikhov, Marat & Tetlock, Philip E. & Mellers, Barbara, 2023. "Decomposing the effects of crowd-wisdom aggregators: The bias–information–noise (BIN) model," International Journal of Forecasting, Elsevier, vol. 39(1), pages 470-485.
  2. Ville A. Satopää & Marat Salikhov & Philip E. Tetlock & Barbara Mellers, 2021. "Bias, Information, Noise: The BIN Model of Forecasting," Management Science, INFORMS, vol. 67(12), pages 7599-7618, December.
  3. Henrich R Greve & Jo Nesbø & Nils Rudi & Marat Salikhov, 2020. "Are goals scored just before halftime worth more? An old soccer wisdom statistically tested," PLOS ONE, Public Library of Science, vol. 15(10), pages 1-11, October.

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Working papers

    Sorry, no citations of working papers recorded.

Articles

  1. Ville A. Satopää & Marat Salikhov & Philip E. Tetlock & Barbara Mellers, 2021. "Bias, Information, Noise: The BIN Model of Forecasting," Management Science, INFORMS, vol. 67(12), pages 7599-7618, December.

    Cited by:

    1. John Patrick Lalor & Pedro Rodriguez, 2023. "py-irt : A Scalable Item Response Theory Library for Python," INFORMS Journal on Computing, INFORMS, vol. 35(1), pages 5-13, January.
    2. Karimi Motahhar, Vahid & Gruca, Thomas S., 2025. "How does training improve individual forecasts? Modeling differences in compensatory and non-compensatory biases in geopolitical forecasts," International Journal of Forecasting, Elsevier, vol. 41(2), pages 487-498.
    3. Schuler, Benedikt Alexander & Murmann, Johann Peter & Beisemann, Marie & Satopää, Ville, 2025. "Individual foresight: Concept, operationalization, and correlates," International Journal of Forecasting, Elsevier, vol. 41(4), pages 1521-1538.
    4. Risto Heikkinen & Juha Karvanen & Kaisa Miettinen, 2025. "A Bayesian model for portfolio decisions based on debiased and regularized expert predictions," Journal of Business Economics, Springer, vol. 95(5), pages 669-706, July.
    5. Philip E. Tetlock & Christopher Karvetski & Ville A. Satopää & Kevin Chen, 2024. "Exploring the limits on Meliorism: A commentary on Tetlock et al. (2023)," Futures & Foresight Science, John Wiley & Sons, vol. 6(1), March.
    6. Philip E. Tetlock & Christopher Karvetski & Ville A. Satopää & Kevin Chen, 2024. "Long‐range subjective‐probability forecasts of slow‐motion variables in world politics: Exploring limits on expert judgment," Futures & Foresight Science, John Wiley & Sons, vol. 6(1), March.

  2. Henrich R Greve & Jo Nesbø & Nils Rudi & Marat Salikhov, 2020. "Are goals scored just before halftime worth more? An old soccer wisdom statistically tested," PLOS ONE, Public Library of Science, vol. 15(10), pages 1-11, October.

    Cited by:

    1. Marius Ötting & Christian Deutscher & Carl Singleton & Luca De Angelis, 2023. "Gambling on Momentum in Contests," Economics Discussion Papers em-dp2023-08, Department of Economics, University of Reading.

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