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Elise Payzan-LeNestour

Personal Details

First Name:Elise
Middle Name:
Last Name:Payzan-LeNestour
Suffix:
RePEc Short-ID:ppa708
[This author has chosen not to make the email address public]
http://www.elisepayzan.com

Affiliation

(82%) School of Banking and Finance
UNSW Business School
UNSW Sydney

Sydney, Australia
http://www.asb.unsw.edu.au/schools/bankingandfinance/
RePEc:edi:sbnswau (more details at EDIRC)

(18%) Division of Social Sciences
California Institute of Technology

Pasadena, California (United States)
http://www.hss.caltech.edu/research/social-sciences-research
RePEc:edi:dscalus (more details at EDIRC)

Research output

as
Jump to: Working papers

Working papers

  1. Élise PAYZAN LE NESTOUR, 2010. "Bayesian Learning in UnstableSettings: Experimental Evidence Based on the Bandit Problem," Swiss Finance Institute Research Paper Series 10-28, Swiss Finance Institute.
  2. Sacha Bourgeois-Gironde & Élise Payzan & Raphael Giraud, 2005. "behavioral and neural foundations of framing-effects," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) ijn_00000603, HAL.
  3. Elise Payzan & Sacha Bourgeois-Gironde, 2005. "Epistemological Foundations for Neuroeconomics," Working Papers ijn_00000658, HAL.

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

  1. Élise PAYZAN LE NESTOUR, 2010. "Bayesian Learning in UnstableSettings: Experimental Evidence Based on the Bandit Problem," Swiss Finance Institute Research Paper Series 10-28, Swiss Finance Institute.

    Cited by:

    1. Kuhnen, Camelia M., 2012. "Asymmetric learning from financial information," MPRA Paper 39412, University Library of Munich, Germany.
    2. Dimitrije Marković & Jan Gläscher & Peter Bossaerts & John O’Doherty & Stefan J Kiebel, 2015. "Modeling the Evolution of Beliefs Using an Attentional Focus Mechanism," PLOS Computational Biology, Public Library of Science, vol. 11(10), pages 1-34, October.
    3. Elise Payzan-LeNestour & Peter Bossaerts, 2011. "Risk, Unexpected Uncertainty, and Estimation Uncertainty: Bayesian Learning in Unstable Settings," PLOS Computational Biology, Public Library of Science, vol. 7(1), pages 1-14, January.

More information

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Co-authorship network on CollEc

Corrections

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